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TIBCO Statistica® User's Guide

Contents

  • TIBCO Documentation and Support Services
  • Statistica Help
    • Technical Support
    • Useful Features
    • Edge Scoring Using Boomi AtomSphere®
    • Feature Finder
    • Statistica Examples
      • Advanced Linear and Nonlinear Models
        • Cox Proportional Hazards Models
          • Example 1 - Cox Proportional Hazards Model Survival
          • Example 2 - Cox Proportional Hazards Model Survival - Time-Dependent
          • Example 3 - Cox Proportional Hazards Model - Models for Recurrent Event Data
          • Example 4 - Cox Proportional Hazards Model - Building and Deployment to New Data
        • Fixed Nonlinear Regression
          • Fixed Nonlinear Regression - Example
        • Generalized Linear Nonlinear - GLZ Models
          • GLZ Examples
            • Example 1: Normal Linear Model with Log Link
            • Example 2: Binomial Linear Model with Logit Link (Logistic Regression)
            • Example 3: Ordinal Multinomial Linear Model with Probit Link
            • Example 4: Multinomial Linear Model with Generalized Logit Link
            • Example 5: Tweedie Distribution with Log Link
          • GLZ Syntax Examples
            • GLZ Syntax - Example 1: Multiple Regression with Categorical Predictors
            • GLZ Syntax - Example 2: Stepwise Multiple Regression
            • GLZ Syntax - Example 3: Best Subset Regression with Multinomial Response
            • GLZ Syntax - Example 4: Factorial Design and Binomial Response
        • General Linear Models (GLM)
          • GLM Basic Examples
            • Example 1: A 2 x 3 Between-Groups Factorial ANOVA Design
            • Example 2: One-Way ANOVA Design
            • Example 3: Main Effects ANOVA Design
            • Example 4: Mixed-Model Factorial ANOVA Design
            • Example 5: Mixed-Model Nested ANOVA Design
            • Example 6: Repeated Measures ANOVA Design
            • Example 7: Simple Regression Analysis
            • Example 8: Multiple Regression Analysis
            • Example 9: Response Surface Design
            • Example 10: Mixture Surface Design
            • Example 11: MANCOVA Design
          • GLM Advanced Examples
            • Advanced Example 1: Type V Sums of Squares
            • Advanced Example 2: Planned Comparisons of Least Squares Means
            • Advanced Example 3: Custom Within Designs
            • Advanced Example 4: Post-Hoc Tests for Repeated Measures
            • Advanced Example 5: Specifying a Process-Mixture Design
            • Advanced Example 6: Response Optimization
            • Advanced Example 7: Cross-Validation
          • GLM Syntax Examples Overview
            • GLM Syntax - Example 1: 4-Way Between Group Design
            • GLM Syntax - Example 2: Between-within (repeated measures) design
            • GLM Syntax - Example 3: Hierarchically Nested Design with Random Effects
            • GLM Syntax - Example 4: Multiple Regression
            • GLM Syntax - Example 5: 2(k-p) Fractional Factorial
            • GLM Syntax - Example 6: Response Surface Design and Lack of Fit
            • GLM Syntax - Example 7: Mixture Design
            • GLM Syntax - Example 8: Mixture/Process Design
            • GLM Syntax - Example 9: Multivariate Repeated Measures
            • GLM Syntax - Example 10: Equality of Regression Coefficients
            • GLM Syntax - Example 11: Cross-over design
        • General Partial Least Squares (PLS) Models
          • PLS Examples
            • Example 1: Multiple Regression
            • Example 2: Multivariate Regression
          • PLS Syntax - Examples
            • PLS Syntax - Example 1: Multiple Regression with Categorical Predictors
            • PLS Syntax - Example 2: Multivariate Regression with Categorical Predictors
            • PLS Syntax - Example 3: Multivariate Regression with SIMPLS
        • General Regression Models (GRM)
          • General Regression Models (GRM) - Examples
            • Example 1: Stepwise Regression
            • Example 2: Best-Subset Regression
          • GRM Syntax Examples
            • GRM Syntax - Example 1: Multiple Regression
            • GRM Syntax - Example 2: Stepwise Multiple Regression with Categorical Predictors
            • GRM Syntax - Example 3: Best-Subset Regression with Categorical Predictors
            • GRM Syntax - Example 4: Testing Equality of Regression Coefficients
        • Log Linear
          • Example 1: Specifying Tables Directly (Frequency Table Input)
          • Example 2: Log Linear Analysis of Frequency Tables (incomplete)
        • NIPALS Algorithm (PCS - PLS)
          • PCA Example
        • Nonlinear Estimation
          • Probit and Logit Models
            • Example 1: Predicting Success/Failure
            • Example 2: Predicting Redemption of Coupons
          • Exponential Regression Models
            • Example 3: Predicting Recovery from Injury
            • Example 4: Comparing Two Learning Curves
            • Example 4.1: Estimating Two Different Models
          • Other Regression Models
            • Example 5: Regression in Pieces
            • Example 6: Estimating Drug Responsiveness (Half-Maximal Response)
          • Specifying Loss Functions
            • Example 7: Weighted Least Squares
          • Nonlinear Estimation Syntax for User Functions
            • Example: Specifying a Regression Model that Will Evaluate Differences Across Groups
            • Example: Using Logical Expressions to Estimate Regression Parameters
          • Nonlinear Estimation Examples - Concluding Remarks
        • SEPATH
          • Introductory Example - Confirmatory Factor Analysis
          • Example 1: Stability of Alienation
          • Example 2: A Confirmatory Factor Analysis
          • Example 3: Confirmatory Factor Analysis with Identifying Constraints
          • Example 4: Effect of Peer Influence on Ambition
          • Example 5: Standardized Solutions for the Effect of Peer Influence on Ambition
          • Example 6: Factor Analysis with an Intercept Variable
          • Example 7: Comparing Factor Structure in Two Groups
          • Example 8: Testing for Circumplex Structure
          • Example 9: Testing for Stability of a Correlation Matrix over Time
          • Example 10: A Multiple Regression Model for Home Environment and Math Achievement
          • Example 11: Structural Models for Home Environment and Mathematics Achievement
          • Example 12: Test Theory Models for Sets of Congeneric Tests
          • Example 13: Comparing Dependent Variances
          • Example 14: A Multi-Trait, Multi-Method Model
          • Example 15: A Longitudinal Factor Model
          • Example 16: A Structural Model for 10 Personality and Drug Use Variables
          • Example 17: A Test for Compound Symmetry
          • Example 18: Testing the Equality of Correlation Matrices from Different Populations
        • Survival Analysis Examples - Overview and Data File
          • Example 1: Actuarial Life Table
          • Example 2: Kaplan-Meier Product-Limit Estimates
          • Example 3: Comparing Survival in Two or More Groups
          • Example 4: Regression Models
          • Example 5: Cox Model with Time-Dependent Covariates
        • Time Series
          • Example 1: Transformation of Variables
          • Example 2: Single Series ARIMA
          • Example 3: Interrupted ARIMA
          • Example 4: Seasonal and Non-seasonal Exponential Smoothing
          • Example 5: Seasonal Decomposition (Census Method I)
          • Example 6: X-11 Seasonal Decomposition (Census Method II)
          • Example 7: Distributed Lags Analysis
          • Example 8: Spectrum (Fourier) Analysis
        • Variance Components
          • Example 1: Variance Component Estimation for a Two-Way Random Factorial Design
          • Example 2: Variance Component Estimation for a Four-Way Mixed Factorial Design
          • Example 3: Variance Component Estimation for a Hierarchically Nested Random Design
          • Example 4: Estimating the Population Intraclass Correlation via Variance Components
      • Basic Statistics
        • Example 1: Descriptive Statistics, t-Tests, and Correlations
        • Example 2: Breakdown and One-Way ANOVA
        • Example 3: Frequency Tables
        • Example 4: Stub-and-Banner Tables
        • Example 5: Crosstabulation Tables
        • Example 6: Tabulating Multiple Responses and Dichotomies
        • Example 7: Detecting Outliers
        • Example 8: Visually Comparing Variables
        • Example 9: Using Contingency Tables to Compute Chi-Square Tests for Independence
        • Example 10: Chi-Square Test for Independence
      • Batch (ByGroup) Analysis Example
      • Customizing Statistica
        • Getting Started
        • Assign/Remove Keyboard Shortcut Keys
        • Create a New Toolbar
        • Customizing Toolbars
        • Customizing Menus
        • Toolbar and Menu Appearance
      • Data Mining
        • Example 1: A simple project for creating standard reports and summaries
        • Example 2: Visual Data Mining
        • Example 3: Predictive data mining and deployment for a continuous output variable
        • Example 4: Predictive Data Mining for Categorical Output Variable (Classification)
        • Example 1: Association Rules Applied to Consumer Preferences
        • Boosted Trees
          • Example 1: Classification via Boosted Trees
          • Example 2: Prediction of Continuous Dependent Variable
        • Developing Credit Scoring Model for Data Miner Recipe - Example
        • Example 1: CHAID Classification Tree
        • General Classification and Regression
          • Example 1: Pattern Recognition (Classification of Digits)
          • Example 2: Regression Tree for Predicting Poverty
        • Generalized Additive Models Example
        • Generalized EM and k-Means Cluster Analysis
          • Example 1: Automatic selection of the best number of clusters from the data
          • Example 2: Illustration of EM Clustering with a synthetic data set
        • Example: Goodness of Fit Indices for Regression Predictions
        • Independent Component Analysis Example
        • Interactive Trees (C&RT, CHAID) Example
        • Machine Learning
          • k-Nearest Neighbors
            • K-Nearest Neighbor Example 1 - Classification
            • K-Nearest Neighbor Example 2 - Regression
          • Naive Bayes Classifier Example - Classification
          • Support Vector Machines
            • Support Vector Machine Example 1 - Classification
            • Support Vector Machine Example 2 - Regression
        • MARSplines Example
        • Example: Using SIC Codes for Building a Predictive Model
        • Process Optimization
          • General Optimization Example
          • Quality Control Charts
            • QC Charts Example 1: Specifying Control Charts for Variables, Process Capability
            • QC Charts Example 2: Brushing, Assigning Causes and Actions
            • QC Charts Example 3: Computing Chart Parameters for Different Sets
            • QC Charts Example 4: Setting Up Shop Floor Mode and Alarm Notification
            • QC Charts Example 5: Specifying Control Charts for Attributes, Custom Control Limits
            • QC Charts Example 6: Specifying Pareto Charts, Changing the Project Header, Printing Results
            • QC Charts Example 7: Specifying Moving Average/Moving Range charts
            • QC Charts Example 8: Specifying Charts for Individual Observations and Moving Ranges
            • QC Charts Example 9: Using IQC on the Shop Floor
            • QC Charts Example 10: Specifying Control Charts for Short Production Runs
            • QC Charts Example 11: Specifying CuSum Charts
          • Response Optimization
            • Response Optimization Example - Classification
            • Response Optimization Example - Regression
        • Random Forests
          • Example: Classification Random Forests
          • Example: Regression Random Forests
        • Rapid Deployment of Predictive Models
          • Example 1: Creating Deployment Code for Scoring New Records
          • Example 2: Rapid Deployment of Predictive Models
        • Sequence, Association, and Link Analysis
          • Example - Association Rules Applied to Consumer Preferences
          • Example - Sequence Association Rules Applied to Microsoft Web Logs
        • Statistica Automated Neural Networks (SANN)
          • SANN Example 1: Performing Regression with 4-Bar Linkage Data
          • SANN Example 2: The Iris Problem (Classification)
          • SANN Example 3: Growth in Number of Airline Passengers over Time
          • SANN Example 4: Time Series (Classification)
          • SANN Example 5: Cluster Analysis in SANN
          • SANN Example 6: Deploying the 4Bar Linkage Data
        • Text and Document Mining, Web Crawling
          • Automatic Classification of Text
          • Refining Automatic Text Classification with Synonyms and Phrases
        • Weight of Evidence (WoE) example
      • Distribution Fitting Example
      • Distributions & Simulation Example
      • Extract, Transform, and Load - ETL
        • Example 1: Aligning Data From a Cyclone Furnace
        • Example 2: Comparing Historical Stock prices
        • Example 3: Aligning Multiple Stages of Process Data
      • General ANOVA MANOVA
        • Example 1: Simple Factorial ANOVA with Repeated Measures
        • Example 2: A 2 x 3 Between-Groups ANOVA Design
        • Example 3: A 2-Level Between-Group x 4-Level Within-Subject Repeated Measures Design
        • ANOVA/MANOVA Syntax - Examples
      • Graphs
        • Example: Creating a Graph of Block Data Using an Analysis Output Spreadsheet as Input
        • Example: Creating a Graph of Block Data Using an Input Data File
        • Example: Creating a Graph of Input Data
        • Example: Creating and Customizing a Simple 2D Graphs Menu Graph
        • Example: Creating a Wafer Plot
        • Specifying Multiple Subsets Example
      • Industrial Statistics
        • Experimental Design
          • Example 1.1: Designing and Analyzing a 2(7-4) Fractional Factorial Design
          • Example 1.2: Analyzing a 26 Full Factorial
          • Example 1.3: Analyzing a Botched 2(7-4) Fractional Factorial Design
          • Example 2: Designing and Analyzing a 35-Factor Screening Design
          • Example 3: Analyzing a 33 Full Factorial
          • Example 4: Designing and Analyzing a 2332 Experiment
          • Example 5: Central Composite (Response Surface) Designs
          • Example 6: Latin Square Designs
          • Example 7: Taguchi Robust Design Experiment
          • Example 8.1: Designing and Analyzing a Mixture Experiment
          • Example 8.2: Designing and Analyzing a Mixture Experiment with Pseudo-Components
          • Example 9.1: Finding Vertex and Centroid Points for a Constrained Region
          • Example 9.2: Mixture Designs for Components with Upper and Lower Bound Restrictions
          • Example 10.1: Constructing a Simple D-Optimal Design
          • Example 10.2: Constructing a Design from Vertex and Centroid Points (Example 9.1, Continued)
          • Example 11: Constructing a D-Optimal Split Plot Design
          • Special Topics Example 1 - Simultaneous Optimization of Several Response Variables in a Central Composite (Response Surface) Design
          • Special Topics Example 2 - Optimization of the Response Variable in a Three-Factor Mixture Experiment
          • Special Topics Example 3 - Residuals Analysis
          • Special Topics Example 4 - Box-Cox Transformation of a Dependent Variable
        • Multivariate Quality Control
          • MQC Charts Example 1 - Creating a Hotelling's T2 Chart
          • MQC Charts Example 2 - Creating a MEWMA Chart for Individuals
          • MQC Charts Example 3 - Computing Chart Parameters for Different Sets
          • MQC Charts Example 4 - Creating a Multiple Stream Chart
          • MQC Charts Example 5 - Creating a Multivariate CUSUM Chart
        • Process Analysis
          • Introduction to Process Analysis Examples
          • Example 1: Deriving and Examining a Sampling Plan
          • Example 2: Process Capability Analysis
          • Example 3: Gage Repeatability and Reproducibility
          • Example 4: Weibull and Reliability/Failure Time Analysis
          • Example 5: Gage Linearity and Bias Study
          • Example 6: Attribute Agreement Analysis
          • Example 7: Capability Ratios for True Position
          • Example 8: MSA Attribute Data
          • Example 9: Attribute Gage Study (Analytic Method)
          • Example 10: Capability Analysis (Binomial)
          • Example 11: Unstacking Data in Attribute Agreement Analysis
        • Quality Control Charts
          • QC Charts Example 1: Specifying Control Charts for Variables, Process Capability
          • QC Charts Example 2: Brushing, Assigning Causes and Actions
          • QC Charts Example 3: Computing Chart Parameters for Different Sets
          • QC Charts Example 4: Setting Up Shop Floor Mode and Alarm Notification
          • QC Charts Example 5: Specifying Control Charts for Attributes, Custom Control Limits
          • QC Charts Example 6: Specifying Pareto Charts, Changing the Project Header, Printing Results
          • QC Charts Example 7: Specifying Moving Average/Moving Range charts
          • QC Charts Example 8: Specifying Charts for Individual Observations and Moving Ranges
          • QC Charts Example 9: Using IQC on the Shop Floor
          • QC Charts Example 10: Specifying Control Charts for Short Production Runs
          • QC Charts Example 11: Specifying CuSum Charts
      • Macro (SVB) Program Examples
      • Monte Carlo
        • Monte Carlo Example 1: Adequacy of Sample Size and Heywood Cases in Factor Analysis
        • Monte Carlo Example 2: Performance of GLS and ML Estimation in the Comparison of Correlation Matrices
        • Monte Carlo Example 3: Bootstrapping
      • Multiple Regression
        • Example 1: Standard Regression Analysis
        • Example 2: Stepwise Regression Analysis
      • Multivariate Exploratory Techniques
        • Example1: Canonical Correlation
        • Classification Trees
          • Example 1: Discriminant-Based Univariate Splits for Categorical Predictors
          • Example 2: Discriminant-Based Univariate Splits for Categorical and Ordered Predictors
          • Example 3: Discriminant-Based Linear Combination Splits for Ordered Predictors
          • Example 4: Exhaustive Search for Univariate Splits for Ordered Predictors
        • Cluster Analysis
          • Example 1: Joining - Tree Clustering
          • Example 2: K-means Clustering
        • Correspondence Analysis
          • Example 1: Correspondence Analysis and Supplementary Points
          • Example 2.1: Analyzing an Indicator Matrix (Consumer Preferences)
          • Example 2.2: Multiple Correspondence Analysis
          • Example 3: Protein Consumption in Europe
        • Discriminant Function Analysis - Example
        • Example 1: Factor Analysis
        • General Discriminate Analysis - GDA
          • GDA Examples
            • General Discriminant Analysis (GDA) Models - Examples
            • GDA - Example 1: Stepwise Discriminant Analysis
            • GDA - Example 2: Best-Subset Discriminant Analysis
          • GDA Syntax - Examples
            • GDA Syntax - Example 1: Simple Standard Discriminant Analysis
            • GDA Syntax - Example 2: Stepwise Discriminant Analysis with Categorical Predictors
        • Multidimensional Scaling - Example
        • Principal Components & Classification Analysis Example
        • Reliability and Item Analysis
          • Example 1: Evaluating the Reliability of Items in a Questionnaire
          • Example 2: Split-Half Reliability
      • Multivariate Statistical Process Control (MSPC)
        • PCA Example
        • PCA Deployment Example
        • TMPCA Example
        • MSPC Raw Data Example
      • Nonparametrics
        • Example 1: 2 x 2 Tables
        • Example 2: Sign Test
        • Example 3: Observed vs. Expected Chi-Square
        • Example 4: Correlations
        • Example 5: Wald-Wolfowitz Runs Test, Mann-Whitney U Test, Kolmogorov-Smirnov Two-Sample Test
        • Example 6: Kruskal-Wallis ANOVA & Median Test
        • Example 7: Friedman ANOVA & Kendall Concordance
        • Example 8: Wilcoxon Matched Pairs Test
        • Example 9: Cochran Q Test
        • Example 10: Descriptive Statistics
      • PLS, PCA, Multivariate Batch SPC
        • Principal Components Analysis (PCA)
          • PCA Example
          • PCA Deployment Example
        • TMPCA Example
      • Power Analysis
        • Example 1: Power and Sample Size Calculation for the Independent Sample t-Test
        • Example 2: Analyzing Power, Sample Size, and Effect Size in 1-Way ANOVA
        • Example 3: Sample Size Calculation in Factor Analysis
        • Example 4: Power and Sample Size in Complex Factorial ANOVA
        • Example 5: Power Calculation in a 1-Way Repeated Measures ANOVA
        • Example 6: Hypotheses About the Noncentrality Parameter of the F Distribution
        • Example 7: Constructing a Confidence Interval on the Noncentrality Parameter
        • Example 8: Power of Nonstandard Significance Tests in the Analysis of Variance
        • Example 9: Exact Tests and Confidence Intervals for the Correlation Coefficient
        • Example 10: Confidence Intervals and Special Tests on the Multiple Correlation
      • Query
        • Example - Querying a Database Using ODBC
        • Example - Querying a Database Using OLE DB
      • Statistica Visual Basic
        • Macro (SVB) Program Examples
        • Getting Started
          • A Simple Statistica Visual BASIC (SVB) Program
          • A Simple Message Box, and If..Then..End If Block
        • Spreadsheets and Statistics
          • Macro (SVB) Programs Example - Basic Spreadsheet Manipulation
          • Macro (SVB) Program Examples - Creating a Random Sized Spreadsheet
          • Macro (SVB) Programs Example - Resize a Spreadsheet
          • Macro (SVB) Programs Example - Auto-Fitting a Spreadsheet's Variable Columns
          • Macro (SVB) Programs Example - Converting a Spreadsheet's Data Type
          • Macro (SVB) Programs Example - Creating Sample Statistics (Descriptives and Correlations)
          • Macro (SVB) Programs Example - Creating a Custom Spreadsheet
          • Macro (SVB) Programs Example - Formatting Cells in Spreadsheets
          • Macro (SVB) Programs Example - Accessing Results Spreadsheet Data
          • Macro SVB Programs Examples - Searching a Spreadsheet's Cells for a Value
          • Macro (SVB) Programs Example - Inserting an Array into a Spreadsheet
          • Macro (SVB) Programs Example - Retrieving a Collection of Spreadsheets
          • Macro (SVB) Programs Example - Customizing a Simple Descriptive Statistics Macro
          • Macro (SVB) Programs Example - Accessing Multiple Modules in a Single Program
          • Macro (SVB) Programs Example - Creating a Cell-Function Spreadsheet
          • Macro (SVB) Programs Example - Creating a Self-Updating Dataset
        • Graphs
          • Macro (SVB) Programs Example - Creating and Customizing Box-Plots
          • Macro (SVB) Programs Example - Accessing and Customizing Graphs
          • Macro (SVB) Programs Example - Creating User-Defined Custom Functions
          • Macro (SVB) Programs Example - Customizing Graphs
          • Macro (SVB) Programs Example - Creating and Customizing Graph Objects
          • Macro (SVB) Programs Example - Graph Function Library
        • Reports
          • Macro (SVB) Programs Example - Customizing Reports
          • Macro (SVB) Programs Example - Copying Cells from a Spreadsheet into a Report
        • Workbooks
          • Macro (SVB) Programs Example - Customizing Workbooks
          • Macro (SVB) Programs Example - Inserting All Open Windows into a Workbook
        • Statistica Interface
          • Macro (SVB) Programs Example - Launching a New Statistica Application
          • Macro (SVB) Programs Example - Adding a Custom Toolbar via a SVB Macro Program
          • Macro (SVB) Programs Example - Opening and Saving Statistica Documents
          • Macro (SVB) Programs Example - Printing Statistica Documents
          • Macro (SVB) Programs Example - Statistica Dialog Box for Selecting Data Files
          • Macro (SVB) Programs Example - Statistica Dialog Boxes for Selecting Variables
          • Macro (SVB) Programs Example - Writing a Custom Statistica Application with User-Defined Dialog Boxes
          • Macro (SVB) Programs Example - Displaying a Progress Bar
        • Statistica Query
          • Macro (SVB) Program Examples - Creating a Statistica Query Toolbar
          • Macro (SVB) Program Examples - Running a Query via a Macro
        • Other Environments
          • Macro (SVB) Programs Example - Accessing Statistica Visual Basic Functions from Microsoft Excel
          • Macro (SVB) Programs Example - Accessing Statistica Visual Basic Functions from Microsoft Word
          • Limitations and Differences between SVB and Visual Basic in Other Applications
      • Variance Estimation and Precision
        • Example 1: Balanced and Unbalanced Two-Way Mixed Models
        • Example 2: Variance Component Estimation for a Four-Way Mixed Factorial Design
        • Example 3: Variance Component Estimation for a Hierarchically Nested Random Design
        • Example 4: Estimating the Population Intraclass Correlation in Variance Estimation and Precision
        • Example 5: Analyzing a Nested Mixed Model
      • Workbooks
        • Creating a Workbook
        • Adding Items to a Workbook
        • Adding the Current Item to a Workbook
        • Adding a Folder to a Workbook
        • Adding a New Statistica Document to a Workbook
        • Adding a Saved Statistica Document to a Workbook
        • Adding a New ActiveX Document to a Workbook
        • Adding a Previously Saved Object to a Workbook
        • Deleting Items from a Workbook
        • Extracting a File from a Workbook
        • Opening a Workbook
        • Printing a Workbook
        • Rearranging the Workbook Tree with Drag-and-Drop
        • Renaming Workbook Items
        • Saving a Workbook
        • Using Copy and Paste in a Workbook
    • Statistica Enterprise Manager Examples
      • Examples Overview
      • Example 1: Setting Up the System View
      • Example 2: Setting Up Enterprise Users and Groups
      • Example 3: Setting Up a Database Connection
      • Example 4: Setting Up a Data Configuration
      • Example 5: Setting Up a QC Analysis Configuration
      • Example 6: Setting Up a Report Configuration
      • Example 7: Setting Up Server Tasks
      • Example 8: Setting Up Dashboards
      • Example 9: Displaying All Acknowledged Dashboard Alarms
      • Example 10: Setting Up a Data Entry Setup
      • Advanced Examples
        • Data Filtering
        • Email Alarm Notification
        • Cause and Action Write-Backs
        • Automatically Include Filtering Conditions in QC Charts
    • Help - R Integration with Statistica
      • Options - R Integration
      • Custom R Workspace Nodes
  • Statistics - Analyzing Data
    • Commonly Used Statistical Tests
    • Elementary Concepts
    • Probability Distribution Calculator - Overview
    • Statistical Advisor
  • Data Mining
    • Association Rules Overview
      • Association Rules - Computational Procedures and Terminology
      • Association Rules - Tabular Representation of Associations
      • Association Rules - Graphical Representation of Associations
      • Association Rules - Interpreting and Comparing Results
      • Association Rules - Technical Note on Coding of Multiple Response Variables
      • Association Rules Startup Panel
        • Association Rules Startup Panel - Quick Tab
        • Association Rules Startup Panel - Advanced Tab
      • Association Rules Results
        • Association Rules Results - Quick Tab
        • Association Rules Results - Advanced Tab
      • Example 1: Association Rules Applied to Consumer Preferences
    • Statistica Automated Neural Networks (SANN) - Neural Networks Overview
      • SANN Overviews - Neural Network Tasks
      • SANN Overviews - Network Types
      • SANN Overviews - Activation Functions
      • SANN Overviews - Selecting the Input Variables
      • SANN Overviews - Neural Network Complexity
      • SANN Overviews - Network Training
      • SANN Overviews - Network Generalization
      • SANN Overviews - Pre and Post Processing of Data
      • SANN Overviews - Predicting Future Data and Deployment
      • SANN Overviews - Recommended Textbooks
      • SANN Overviews - Ensembles and Subsampling
      • SANN - New Analysis/Deployment Startup Panel and Quick Tab
        • SANN - Data Selection
          • SANN - Data Selection - Quick Tab
          • SANN - Data Selection - Sampling (CNN and ANS) Tab
          • SANN - Data Selection - Subsampling Tab
          • SANN - Data Selection - Time Series Tab
        • SANN - Automated Network Search (ANS)
          • SANN - Automated Network Search (ANS) - Quick Tab
          • SANN - Automated Network Search (ANS) - MLP Activation Functions Tab
          • SANN - Automated Network Search (ANS) - Weight Decay Tab
          • SANN - Automated Network Search (ANS)  Initialization Tab
          • Neural Network Training in Progress
        • SANN - Custom Neural Network
          • SANN - Custom Neural Network - Quick Tab
          • SANN - Custom Neural Network/Subsampling - MLP Tab
          • SANN - Custom Neural Network/Subsampling - RBF Tab
          • SANN - Custom Neural Network/Subsampling - Weight Decay Tab
          • SANN - Custom Neural Network/Automated Network Search (ANS)/Subsampling - Initialization Tab
          • SANN - Custom Neural Network/Subsampling - Real Time Training Graph Tab
          • SANN - Custom Neural Network - Quick (Kohonen) Tab
          • SANN - Custom Neural Network - Kohonen Training Tab
        • SANN - Subsampling Dialog Box and Quick Tab
          • SANN - Subsampling - MLP Tab
          • SANN - Subsampling - RBF Tab
          • SANN - Subsampling – Weight Decay Tab
          • SANN - Subsampling - Initialization Tab
          • SANN - Custom Neural Network/Subsampling - Real Time Training Graph Tab
        • SANN - Results
          • SANN - Results - Predictions Tab
          • SANN - Results - Graphs Tab
          • SANN - Results - Details Tab
          • SANN - Results - Custom Predictions Tab
          • SANN - Results - Predictions (Kohonen) Tab
          • SANN - Results - Graphs Tab
          • SANN - Results - Kohonen Graph Tab
          • SANN - Results - Liftcharts Tab
          • SANN - Results - Time Series Tab
          • Model Activation
          • Model Deletion
      • Examples
        • SANN Example 1: Performing Regression with 4-Bar Linkage Data
        • SANN Example 2: The Iris Problem (Classification)
        • SANN Example 3: Growth in Number of Airline Passengers over Time
        • SANN Example 4: Time Series (Classification)
        • SANN Example 5: Cluster Analysis in SANN
        • SANN Example 6: Deploying the 4Bar Linkage Data
    • Boosted Trees Overview
      • Boosted Trees for Regression and Classification Overview (Stochastic Gradient Boosting) - Basic Ideas
      • Boosted Trees Startup Panel and Quick Tab
      • Boosted Trees Specifications
        • Boosted Trees Specifications - Quick Tab
        • Boosted Trees Specifications - Advanced Tab
        • Boosted Trees Specifications - Classification Tab
      • Boosted Trees Results
        • Boosted Trees Results - Quick Tab
        • Boosted Trees Results - Classification Tab
        • Boosted Trees Results - Prediction Tab
        • Boosted Trees Results - Report Tab
      • Example 1: Classification via Boosted Trees
        • Example 2: Prediction of Continuous Dependent Variable
    • Generalized EM and k-Means Cluster Analysis Overview
      • Cluster Analysis
        • Cluster Analysis - Quick tab
        • Cluster Analysis - k-Means tab
        • Cluster Analysis - EM tab
        • Cluster Analysis - Tree Clustering Tab
        • Cluster Analysis - Validation Tab
      • Cluster Analysis Results
        • Generalized Cluster Analysis Results - Quick tab
        • Generalized Cluster Analysis Results - Advanced tab
        • Tree Clustering Results - Quick Tab
        • Tree Clustering Results - Advanced Tab
      • Example 1: Automatic selection of the best number of clusters from the data
        • Example 2: Illustration of EM Clustering with a synthetic data set
      • Technical Notes: The k-Means Algorithm
        • Technical Notes: The EM Algorithm
    • Data Miner Recipes (DMR) Overview
      • Data Miner Recipes UI
        • Steps Tab
        • Options Tab
        • Data Preparation
          • Data Preparation Tab
          • Data Preparation - Advanced Tab
          • Annotations Tab
        • Data for Analysis
          • Data for Analysis Tab
          • Annotations Tab
        • Data Redundancy
          • Data Redundancy Tab
          • Annotations Tab
        • Target Variable
          • Target Variable- Important Variables Tab
          • Annotations Tab
        • Model Building
          • Model Building Tab
            • C&RT
            • Random Forest
            • Boosting Trees
            • Neural Networks
            • Support Vector Machine
          • Annotations Tab
        • Evaluation
          • Evaluation Tab
          • Annotations Tab
        • Deployment
          • Deployment Tab
          • Annotations Tab
      • Developing Credit Scoring Model for Data Miner Recipe - Example
    • Data Mining Workspaces
      • Interactive Drill-Down Explorer
        • Interactive Drill-Down Explorer Overview
          • Auto-Updating Graphs and Summary Statistics after Each Drill-Down
        • Dialogs
          • Interactive Drill-Down Explorer Startup Panel
            • Interactive Drill-Down Explorer Startup Panel - Quick Tab
            • Interactive Drill-Down Explorer Startup Panel - Categorization Tab
            • Interactive Drill-Down Explorer Startup Panel - Review Tab
            • Interactive Drill-Down Explorer Startup Panel - Options Tab
            • Drill-Down Order
            • Select Category
            • Specify Boundaries
      • Data Mining ... Quick Linear Models Project
        • Data Mining – Data Mining - Workspaces – Data Miner - General Classifier (Trees and Clusters) – Advanced Comprehensive Classifiers Project
        • Data Mining - Data Mining - Workspaces - Data Miner - General Modeler and Multivariate Explorer - Advanced Comprehensive Regression Models
      • Data Mining - Data Mining - Workspaces - Data Miner - General Forecaster - Neural Network Time Series Project
      • Data Mining - Data Mining - Workspaces - Data Miner - General Neural Network Explorer - Multilayer Perceptrons Project
        • Data Mining - Data Mining - Workspaces - Data Miner - General Neural Network Explorer - Advanced Multiple Architectures Project
    • Feature Selection and Variable Screening
      • Overviews
        • Feature Selection and Variable Screening Overview
        • Feature Selection and Variable Screening - Computational Details
      • Feature Selection and Variable Screening and Quick Tab
      • FSL Results (Feature Selection and Variable Screening Results)
    • General CHAID Overview
      • Basic Tree-Building Algorithm: CHAID and Exhaustive CHAID
      • General Computation Issues and Unique Solutions of STATISTICA GCHAID
      • CHAID, C & RT, and QUEST
      • Missing Data in GC&RT, GCHAID, and Interactive Trees
      • General CHAID Models Startup Panel and Quick Tab
        • General CHAID Analysis Syntax Editor
          • Analysis Syntax Editor - Keywords Tab
          • Analysis Syntax Editor - Specifications Tab
          • Alternative Method for Specifying GLM Designs in Macros (Automation)
        • General CHAID Analysis Wizard--Between Design
          • General CHAID Analysis Wizard--Between Design - Default Between Design Tab
          • General CHAID Analysis Wizard--Between Design - Custom Between Design Tab
          • General CHAID Analysis Wizard--Extended Options
          • General CHAID Analysis Wizard--Extended Options - Quick Tab
          • General CHAID Analysis Wizard--Extended Options - Classification Tab
          • General CHAID Analysis Wizard--Extended Options - Stopping Tab
          • General CHAID Analysis Wizard--Extended Options - Validation Tab
          • General C&R Trees Wizard - Extended Options - Advanced Tab
        • General CHAID Models Quick Specs
          • General CHAID Models Quick Specs - Quick Tab
          • General CHAID Models Quick Specs - Classification Tab
          • General CHAID Models Quick Specs - Stopping Tab
          • General CHAID Models Quick Specs - Validation Tab
          • Cross-Validation
          • General CHAID Models Quick Specs - Advanced Tab
        • GCHAID Results
          • GCHAID Results - Summary Tab
          • GCHAID Results - Observational Tab
          • GCHAID Results - Classification Tab
          • GCHAID Results - Node Tab
          • GCHAID Results - Report Tab
        • Example 1: CHAID Classification Tree
    • General Classification and Regression Trees Introductory Overview
      • GC&RT Introductory Overview - Basic Ideas Part II
        • Classification and Regression Trees (C&RT) - Computational Details
        • Computational Formulas
        • Missing Data in GC&RT, GCHAID, and Interactive Trees
        • Predictor Importance in STATISTICA GC&RT, Interactive Trees, and Boosted Trees
      • General Classification and Regression Trees Startup Panel
        • General Classification and Regression Trees Startup Panel and Quick Tab
      • General Classification/Regression Tree Models Syntax - Overview
        • General Classification and Regression Trees Syntax Editor
        • Analysis Syntax Editor - Keywords Tab
        • Analysis Syntax Editor - Specifications Tab
        • Alternative Method for Specifying GLM Designs in Macros (Automation)
      • GC&RT Analysis Wizard - Between Design
        • GC&RT Analysis Wizard - Between Design - Custom Between Design Tab
        • GC&RT Analysis Wizard Between Design - Default Between Design Tab
        • General C&R Trees Wizard - Extended Options
        • General C&R Trees Wizard - Extended Options - Quick Tab
        • General C&R Trees Wizard - Extended Options - Classification Tab
        • General C&R Trees Wizard - Extended Options - Stopping Tab
        • General C&R Trees Wizard - Extended Options - Validation Tab
        • General C&R Trees Wizard - Extended Options - Advanced Tab
      • C&RT Quick Specs
        • C&RT Quick Specs - Quick Tab
        • C&RT Quick Specs - Classification Tab
        • C&RT Quick Specs - Stopping Tab
        • C&RT Quick Specs - Validation Tab
        • Cross - Validation
        • C&RT Quick Specs - Advanced Tab
      • GC&RT Results
        • GC&RT Results - Summary Tab
        • GC&RT Results - Observational Tab
        • GC&RT Results - Classification Tab
        • GC&RT Results - Node Tab
        • GC&RT Results - Report Tab
      • Example 1: Pattern Recognition (Classification of Digits)
        • Example 2: Regression Tree for Predicting Poverty
    • Generalized Additive Models Overview
      • Generalized Additive Models - Program Overview
      • Generalized Additive Models Startup Panel
        • Generalized Additive Models Startup Panel and Quick Tab
      • GAM Specifications
        • GAM Specifications - Options Tab
        • GAM Specifications - Quick Tab
        • Degree of Freedom Values
      • GAM Summary Results Spreadsheets and Graphs
      • Generalized Additive Models Example
    • Goodness of Fit Calculations Overview
      • Goodness of Fit, Classification, Prediction Startup Panel
        • Goodness of Fit, Classification, Prediction Startup Panel - Quick Tab
        • Goodness of Fit, Classification, Prediction Startup Panel - Advanced Tab
      • Goodness of Fit Results
        • Goodness of Fit Results - Quick Tab
        • Goodness of Fit Results - Advanced Tab
      • Example: Goodness of Fit Indices for Regression Predictions
      • Goodness of Fit Computational Details
    • Independent Component Analysis Overview
      • Fast Independent Component Analysis Startup Panel
        • Fast Independent Component Analysis Startup Panel - Quick Tab
        • Fast Independent Component Analysis Startup Panel - Options Tab
        • Fast Independent Component Analysis Startup Panel - Deployment Tab
      • Fast Independent Component Analysis Results
        • Fast Independent Component Analysis Results Dialog - Quick Tab
        • Fast Independent Component Analysis Results Dialog - Advanced Tab
      • Independent Component Analysis Example
      • Independent Component Analysis Technical Notes
    • Interactive Trees (C&RT, CHAID) Overview
      • Comparison of Interactive Trees and GC&RT and GCHAID
      • Program Overview
      • Missing Data in GC&RT, GCHAID, and Interactive Trees
      • Interactive Trees Startup Panel
        • Interactive Trees Startup Panel and Quick Tab
      • ITrees Extended Options
        • ITrees Extended Options - Quick Tab
        • ITrees Extended Options - Classification Tab
        • ITrees Extended Options - Stopping Tab
        • ITrees Extended Options - Validation Tab
        • ITrees Extended Options - Advanced Tab
          • Options for C&RT
          • Options for CHAID and Exhaustive CHAID
        • Intervals
        • Cross-Validation
        • ITrees Results
          • ITrees Results - Manager Tab
          • ITrees Results - Summary Tab
          • ITrees Results - Classification Tab
          • ITrees Results - Prediction Tab
          • ITrees Results - Report Tab
        • Interactive Trees (C&RT, CHAID) Example
      • Stepwise Model Builder - Cox Regression Introductory Overview
        • Stepwise Model Builder - Cox Regression
        • Marginal Statistics for Stepwise Model Builder - Cox Regression
        • Model Statistics for Stepwise Model Builder - Cox Regression
      • Stepwise Model Builder - Linear Regression Introductory Overview
        • Stepwise Model Builder - Linear Regression
        • Marginal Statistics for Stepwise Model Builder - Linear Regression
        • Model Statistics for Stepwise Model Builder - Linear Regression
    • Lasso Regression
      • Lasso Regression and Quick Tab
        • Quick tab
        • Lasso Regression - Advanced Tab
        • Set Penalties for Predictors
        • Lasso Regression - Validation Tab
        • Lasso Regression Results and Quick Tab
          • Quick tab
          • Lasso Regression Results - Advanced Tab
      • Sequence, Association and Link Analysis Module Overview
        • Sequence, Association, & Link Analysis (SAL) Technical Notes
        • Link Analysis Startup Panel
          • Quick Tab
          • Advanced Tab
          • Sequence Tab
          • Taxonomy Tab
          • Nonsequential Tab
          • Project Tab
          • Assign Item Names and Synonyms to Variables
        • Link Analysis Results
          • Quick Tab
          • Advanced Tab
          • Visualization Tab
          • Deployment Tab
        • Example - Association Rules Applied to Consumer Preferences
          • Example - Sequence Association Rules Applied to Microsoft Web Logs
      • Machine Learning Program Overview
        • Machine Learning Startup Panel and Quick Tab
        • Support Vector Machines Introductory Overview
        • Support Vector Machines
          • Support Vector Machines - Quick Tab
          • Support Vector Machines - Sampling Tab
          • Support Vector Machines - SVM Tab
          • Support Vector Machines - Kernels Tab
          • Support Vector Machines - Cross-Validation Tab
          • Support Vector Machines - Training Tab
          • Penalty Selection
          • Penalty Tab
        • Support Vector Machine Results
          • Support Vector Machine Results - Quick Tab
          • Support Vector Machine Results - Plots Tab
          • Support Vector Machine Results - Custom Predictions Tab
        • Support Vector Machine Example 1 - Classification
        • Support Vector Machine Example 2 - Regression
        • Naive Bayes Classifier Introductory Overview
        • Naive Bayes
          • Naive Bayes - Quick Tab
          • Naive Bayes - Sampling Tab
          • Naive Bayes - Distributions Tab
          • Naive Bayes - Memory Usage Tab
        • Naive Bayes Classifier Results
          • Naive Bayes Classifier Results - Quick Tab
          • Naive Bayes Classifier Results - Plots Tab
          • Naive Bayes Classifier Results - Prior Tab
          • Naive Bayes Classifier Results - Posterior Tab
          • Naive Bayes Classifier Results - Custom Predictions Tab
        • Naive Bayes Classifier Example - Classification
        • k-Nearest Neighbors Introductory Overview
          • K-Nearest Neighbors
            • K-Nearest Neighbors - Quick Tab
            • K-Nearest Neighbors - Sampling Tab
            • K-Nearest Neighbors - Options Tab
            • K-Nearest Neighbors - Cross-Validation Tab
            • K-Nearest Neighbors - Memory Usage Tab
            • Sampling Variable
          • K-Nearest Neighbors Results
            • K-Nearest Neighbors Results - Quick Tab
            • K-Nearest Neighbors Results - Plots Tab
            • K-Nearest Neighbors Results - Options Tab
            • K-Nearest Neighbors Results - Custom Predictions Tab
          • K-Nearest Neighbor Example 1 - Classification
          • K-Nearest Neighbor Example 2 - Regression
    • Model Converter
    • Multivariate Adaptive Regression Splines (MARSplines) Overview
      • Multivariate Adaptive Regression Splines (MARSplines) Startup Panel
        • Multivariate Adaptive Regression Splines (MARSplines) Startup Panel - Quick Tab
        • Multivariate Adaptive Regression Splines (MARSplines) Startup Panel - Options Tab
      • Multivariate Adaptive Regression Splines (MARSplines) Results
        • MARSplines Results - Quick Tab
        • MARSplines Results - Plots Tab
        • MARSplines Results - Save Tab
        • MARSplines Results - Custom Predictions Tab
        • Specify Input Values
      • MARSplines Example
      • Technical Notes: The Multivariate Adaptive Regression Splines (MARSplines) Model
        • Technical Notes: The MARSplines Algorithm
    • Optimal Binning for Predictive Data Mining Overview
      • Optimal Binning for Predictive Data Mining Program Overview
      • Optimal Binning Startup Panel
        • Optimal Binning Startup Panel - Quick Tab
        • Optimal Binning Startup Panel - Advanced Tab
      • Example: Using SIC Codes for Building a Predictive Model
    • Predictor Screening Introductory Overview
      • Predictor Screening Startup Panel and Quick Tab
        • Predictor Screening Startup Panel - Advanced Tab
      • Predictor Screening Results Dialog Box and Categorical Response Tab
        • Predictor Screening Results - Continuous Response Tab
        • Predictor Screening Results - Binary Response Tab
        • Predictor Screening Results - Save Tab
    • Feature and Method Selection Computational Details
      • Feature & Method Selection Startup Panel
      • Feature Selection Analysis
        • Feature Selection Analysis - Quick Tab
        • Generalized Feature Selection Analysis - Advanced Tab
      • Generalized Feature Selection Analysis
        • Generalized Feature Selection Analysis - Quick Tab
        • Generalized Feature Selection Analysis - Advanced Tab
      • Feature & Model Selection; Classification
        • Feature & Model Selection; Classification - Quick Tab
        • Feature & Model Selection; Classification - Advanced Tab
      • Feature & Model Selection; Regression
        • Feature & Model Selection; Regression - Quick Tab
        • Feature & Model Selection; Regression - Advanced Tab
      • Response Optimization Overview
        • Response Optimization Startup Panel
          • Quick Tab
          • Simplex Tab
          • Grid Tab
          • Random Tab
          • Model Exploration Tab
          • Progress Bar
        • Response Optimization Example - Regression
          • Response Optimization Example - Classification
        • Response Optimization Technical Notes
      • General Optimization Overview
        • Statistica General Optimization Startup Panel and Optimization Algorithm Tab
          • Statistica General Optimization Startup Panel - Simplex Tab
          • Statistica General Optimization Startup Panel - Grid Tab
          • Statistica General Optimization Startup Panel - Genetic Algorithm Tab
        • General Optimization Example
      • Quality Control Charts Overview
        • The Architecture of the Quality Control Charts Module
          • Quality Control Introductory Overview- General Purpose
          • Quality Control Introductory Overview - General Approach
          • Quality Control Introductory Overview - Establishing Control Limits
          • Quality Control Introductory Overview - Common Types of Charts
          • Quality Control Introductory Overview - Short Run Charts
          • Quality Control Events
          • List of Chart Events
          • Quality Control Introductory Overview - Unequal Sample Sizes
          • Quality Control Introductory Overview - Control Charts for Variables vs. Charts for Attributes
          • Quality Control Introductory Overview - Control Chart for Individual Observations
          • Quality Control Introductory Overview - Out-of-Control Process: Runs Tests
          • Quality Control Introductory Overview - Operating Characteristic (OC) Curves
          • Quality Control Introductory Overview - Process Capability Indices
          • "Six Sigma" Methodology and Statistica
          • Measurements Related to Product Quality: Custom Alarm Handling and Custom SVB Scripts
        • Defining Variables for Attribute Charts
          • Defining Variables for Attribute Charts - Quick Tab
          • Defining Variables - Sets Tab
          • Defining Variables - Labels, Causes, Actions Tab
        • Defining Variables for (C) Attribute Charts
          • Defining Variables for C (Attribute) Chart - Quick Tab
          • Defining Variables - Sets Tab
          • Defining Variables - Labels, Causes, Actions Tab
        • Defining Sets, Specifications for Charts from Variables
          • Defining Sets, Specifications for Charts from Variables - X(X-Bar) tab
          • Defining Sets, Specifications for Charts from Variables - R (MR, S) Tab
        • Quality Control Charts - Reviewing Attribute Control Charts Results
          • Attribute Charts Results - Brushing Tab
          • Attribute Charts Results - Charts Tab
          • Attribute Charts Options - Stats Tab
          • Attribute Charts Results - Parts Tab
        • Attribute Charts - Options
          • Attribute Charts Options - Layout Tab
          • Attribute Charts Options - Scaling Tab
        • Defining Variables for Pareto Charts
          • Defining Variables for Pareto Charts - Quick Tab
          • Defining Variables for Pareto Charts - Labels, Causes, Actions Tab
        • Reviewing Pareto Charts Results
          • Pareto Charts Results - Quick Tab
        • Pareto Charts Results - Options
          • Pareto Chart Options - Layout Tab
          • Pareto Chart Options - Shop Floor Tab
        • Defining Variables for X-bar and Variability Chart
          • Defining Variables for X-bar and Variability Chart - Quick Tab
          • Defining Variables - Sets Tab
          • Defining Variables - Labels, Causes, Actions Tab
        • Defining Variables for X and Moving Range Chart and CUSUM Chart
          • Defining Variables for X and Moving Range Chart and CUSUM Chart - Quick Tab
          • Defining Variables - Sets Tab
          • Defining Variables - Labels, Causes, Actions Tab
        • Defining Variables for MA X-bar and R/S Charts
          • Defining Variables for MA X-bar and R/S Chart - Quick Tab
          • Defining Variables - Sets Tab
          • Defining Variables - Labels, Causes, Actions Tab
        • Defining Variables for EWMA X-bar and R/S Charts
          • Defining Variables for EWMA X-bar and R/S Chart - Quick Tab
          • Defining Variables - Sets Tab
          • Defining Variables - Labels, Causes, Actions Tab
        • Defining Sets, Specifications for Charts from Variables
          • Defining Sets, Specifications for Charts from Variables - X(X-Bar) tab
          • Defining Sets, Specifications for Charts from Variables - R (MR, S) Tab
        • Reviewing Variable Control Charts, Moving Average Charts, and X & Moving Range Charts Results
          • Results - R/S-specs Tab
          • Results - Brushing Tab
          • Results - Charts Tab
          • Results - Non-Normal Tab
          • Results - Parts Tab
          • Results - Report Tab
          • Results - Sets Tab
          • Results - X-Specs Tab
        • Results - Options
          • Options - Alarm Tab
          • Options - Labeling Tab
          • Options - Layout Tab
          • Options - Patterns Tab
          • Options - Scaling Tab
          • Options - Shop Floor Tab
          • Options - Stats Tab
        • Quality Control Charts Startup Panel
          • Quality Control Charts Startup Panel - Quick Tab
            • Quality Control Charts Startup Panel - Variables Tab
            • Quality Control Charts Startup Panel - Attributes Tab
            • Quality Control Charts Startup Panel - Real-Time Tab
          • Add Variables
          • Assigning a Cause, Action, or Comment
          • Brushing Commands
          • Brushing Commands
          • Causes, Actions, Comments, Data Brushing Setup
          • Chart Center Line
          • Control Limit Dialogs
          • Define Actions Resulting From
          • Edit Text Label
          • Locking Analysis for Shop Floor
          • Runs Tests for Control Chart
          • Sample
          • Select Specifications to be Saved
          • Select the Contents and Layout for the Six Graph Summary
          • Sigma for
          • Sigma Multiplier for Detecting Shift
          • Specifications for Capability Analysis
          • Specify Program (Command Line) and Optional Parameters
          • Specify Target Values
          • Specify Text Labels For
          • Specify Type of Moving Average
          • Warning Lines
          • Label (Name) for the New Set of Samples
            • Compute the Set from Ranges or Codes
            • Specify the Range of Samples for Computing the Set Statistics
            • Specify the Coding Variable and Code for the Computations
            • Apply the Set Statistics and Specifications to Ranges or . . .
            • Specify the Application Range for the Set
        • Quality Control Events
          • Example 1: A Simple Custom Chart Event Handler
          • Example 2: Custom Response to Specific Alarms
          • Example 3: Changing the Chart Specifications from Inside Event Handlers
          • Example 4: Computing Other Statistics or Graphs for Each Chart Update
          • List of Chart Events
          • Measurements Related to Product Quality: Custom Alarm Handling and Custom SVB Scripts
        • QC Charts Example 1: Specifying Control Charts for Variables, Process Capability
          • QC Charts Example 2: Brushing, Assigning Causes and Actions
          • QC Charts Example 3: Computing Chart Parameters for Different Sets
          • QC Charts Example 4: Setting Up Shop Floor Mode and Alarm Notification
          • QC Charts Example 5: Specifying Control Charts for Attributes, Custom Control Limits
          • QC Charts Example 6: Specifying Pareto Charts, Changing the Project Header, Printing Results
          • QC Charts Example 7: Specifying Moving Average/Moving Range charts
          • QC Charts Example 8: Specifying Charts for Individual Observations and Moving Ranges
          • QC Charts Example 9: Using IQC on the Shop Floor
          • QC Charts Example 10: Specifying Control Charts for Short Production Runs
          • QC Charts Example 11: Specifying CuSum Charts
        • The Architecture of the Quality Control Charts Module
          • The Nature of Sets
          • Auto-Updating of Statistics Displayed in Charts and Spreadsheets
          • Quality Control Charts - Computational Details
          • Evaluation of D2(N), D3(N), C4(N), and Related Statistics
          • Short Run Transformations
      • Multivariate Quality Control Charts Overview
        • The Architecture of the Multivariate Quality Control Charts Module
          • General Purpose
          • General Approach
          • Multivariate Quality Control Computational Details
          • Establishing Control Limits
          • Common Types of Multivariate Control Charts
          • Multivariate Quality Control Charts Events
        • Defining Variables for Hotelling T-Square (Individuals) Chart
          • Defining Variables for Hotelling T-Square (Individuals) Chart - Quick Tab
          • Defining Variables for Hotelling T-Square (Individuals) Chart - Sets Tab
          • Defining Variables for Hotelling T-Square (Individuals) Chart - Specs Tab
          • Defining Variables for Hotelling T-Square (Individuals) Chart - Labels, Causes, and Actions Tab
        • Defining Variables for Hotelling T-Square (Means)/GV Chart
          • Defining Variables for Hotelling T-Square (Means)/GV Chart - Quick Tab
          • Defining Variables for Hotelling T-Square (Means)/GV Chart - Sets Tab
          • Defining Variables for Hotelling T-Square (Means)/GV Chart - Specs Tab
          • Defining Variables for Hotelling T-Square (Means)/GV - Labels, Causes, and Actions Tab
        • Defining Variables for MEWMA (Individuals) Chart
          • Defining Variables for MEWMA (Individuals) Chart - Quick Tab
          • Defining Variables for MEWMA (Individuals) Chart - Sets Tab
          • Defining Variables for MEWMA (Individuals) Chart - Specs Tab
          • Defining Variables for MEWMA (Individuals) Chart - Labels, Causes, and Actions Tab
        • Defining Variables for MEWMA (Means) Chart
          • Defining Variables for MEWMA (Means) Chart - Quick Tab
          • Defining Variables for MEWMA (Means) Chart - Sets Tab
          • Defining Variables for MEWMA (Means) Chart - Specs Tab
          • Defining Variables for MEWMA (Means) Chart - Labels, Causes, and Actions Tab
        • Defining Variables for Multivariate CUSUM Chart
          • Defining Variables for Multivariate CUSUM Chart - Quick Tab
          • Defining Variables for Multivariate CUSUM Chart - Sets Tab
          • Defining Variables for Multivariate CUSUM Chart - Specs Tab
          • Defining Variables for Multivariate CUSUM Chart - Labels, Causes, and Actions Tab
        • Defining Variables for Multiple Stream X and MR Chart
          • Defining Variables for Multiple Stream X and MR Chart - Quick Tab
          • Defining Variables for Multiple Stream X and MR Chart - Sets Tab
          • Defining Variables for Multiple Stream X and MR Chart - Labels, Causes, and Actions Tab
        • Defining Variables for Multiple Stream X-Bar and R Chart
          • Defining Variables for Multiple Stream X-Bar and R Chart - Quick Tab
          • Defining Variables for Multiple Stream X-Bar and R Chart - Sets Tab
          • Defining Variables for Multiple Stream X-Bar and R Chart - Labels, Causes, and Actions Tab
        • Defining Variables for Multiple Stream X-Bar and S Chart
          • Defining Variables for Multiple Stream X-Bar and S Chart - Quick Tab
          • Defining Variables for Multiple Stream X-Bar and S Chart - Sets Tab
          • Defining Variables for Multiple Stream X-Bar and S Chart - Labels, Cause, Actions Tab
        • Hotelling T2, MEWMA, MCUSUM, and Multiple Stream Results Dialog Boxes
          • Hotelling T2, MEWMA, MCUSUM, and Multiple Stream Results Dialog Boxes - Charts Tab
          • Hotelling T2, MEWMA, and MCUSUM Results Dialogs - X(Multivariate) Tab; Multiple Stream Results Dialogs - X(XBar) Specs Tab
          • Hotelling T2 for Means, and Multiple Stream Charts Results Dialogs - GV Specs/R/S Specs Tab
          • Hotelling T2, MEWMA, MCUSUM, and Multiple Stream Results Dialog Boxes - Sets Tab
          • Hotelling T2, MEWMA, MCUSUM, and Multiple Stream Results Dialog Boxes - Brushing Tab
        • Multivariate Quality Control Charts Startup Panel
          • Multivariate Quality Control Charts Startup Panel - Quick Tab
          • Multivariate Quality Control Charts Startup Panel - Real-Time Tab
          • Options
            • Options Dialog - Alarms Tab
            • Options Dialog - Labeling Tab
            • Options Dialog - Layout Tab
            • Options Dialog - Patterns Tab
            • Options Dialog - Scaling Tab
        • MQC Charts Example 1 - Creating a Hotelling's T2 Chart
          • MQC Charts Example 2 - Creating a MEWMA Chart for Individuals
          • MQC Charts Example 3 - Computing Chart Parameters for Different Sets
          • MQC Charts Example 4 - Creating a Multiple Stream Chart
          • MQC Charts Example 5 - Creating a Multivariate CUSUM Chart
        • The Architecture of the Multivariate Quality Control Charts Module
          • Multivariate Quality Control Computational Details
      • Quality Control Charts for Variable Lists Startup Panel
        • Quality Control Charts for Variable Lists - Quick Tab
          • Quality Control Charts for Variable Lists - Variables Tab
          • Quality Control Charts for Variable Lists - Attributes Tab
          • Quality Control Charts for Variable Lists - MSP Tab
          • Defining Variables for . . .
            • Defining Variables for Attribute Charts - Quick Tab
            • Defining Variables for . . .  - Quick Tab (n per sample = 1)
            • Defining Variables for . . .  - Quick Tab (n per sample > 1)
          • Pareto Chart
            • Pareto Chart Dialog - Quick Tab
          • Variable Control Chart Results
            • Variable Control Chart Results - X-bar Tab
            • Variable Control Chart Results - R/S Tab
            • Variable Control Chart Results - Process Capability Tab
            • Variable Control Chart Results - Display Tab
      • Predictive Quality Control Charts Startup Panel
        • Predictive Quality Control Charts Startup Panel - Quick Tab
        • Predictive Quality Control Charts Startup Panel - Variables Tab
        • Predictive Quality Control Charts Startup Panel - Attributes Tab
      • Predictive Quality Control Charts for Attributes Results
        • Predictive Quality Control Charts for Attributes Results - Prediction Tab
      • Predictive Quality Control Charts for Variables Results
        • Predictive Quality Control Charts for Variables Results - Prediction Tab
    • Random Forests Overview
      • Random Forest Startup Panel and Quick Tab
        • Random Forest Specifications
        • Random Forest Specifications - Quick Tab
        • Random Forest Specifications - Advanced Tab
        • Random Forest Specifications - Stopping Condition Tab
        • Random Forest Specifications - Classification Tab
      • Random Forest Results
        • Random Forest Results - Quick Tab
        • Random Forest Results - Classification Tab
        • Random Forest Results - Prediction Tab
        • Random Forests Results - Report Tab
      • Example: Classification Random Forests
        • Example: Regression Random Forests
    • Rapid Deployment of Predictive Models Overview
      • Rapid Deployment of Predictive Models
        • Rapid Deployment of Predictive Models - Quick Tab
        • Rapid Deployment of Predictive Models - Lift Chart Tab
        • Rapid Deployment of Predictive Models - Save Results Tab
        • Rapid Deployment of Predictive Models - Profit Chart/ROC Curve Tab
        • Rapid Deployment of Predictive Models - Confusion Matrix Tab
      • Example 1: Creating Deployment Code for Scoring New Records
        • Example 2: Rapid Deployment of Predictive Models
    • Stepwise Model Builder Overview
      • Stepwise Model Builder - Logistic Regression
      • Marginal Statistics for Stepwise Model Builder - Logistic Regression
      • Model Statistics for Stepwise Model Builder - Logistic Regression
      • Stepwise Model Builder Example
    • Text Mining Overview
      • Program Overview
        • Issues and Considerations for Retrieving HTM/HTML Web Pages (Web Crawling)
      • Web Crawling Document Retrieval Overview
        • Web Crawling Document Retrieval Dialog
        • Browsing for Folder Dialog
      • Text Mining Dialog
        • Quick Tab
        • Advanced Tab
        • Text Mining Words Tab
        • Project Tab
        • Filters Tab
        • Characters Tab
        • Delimiters Tab
        • Defaults Tab
      • Open Document Files
      • Modification of Synonyms
      • Word Editor
      • Assigning Statistics to Variables
      • Text Mining Results
        • Summary Tab
        • Concept Extraction Tab
        • Search Tab
        • Save Results Tab
      • Automatic Classification of Text
        • Refining Automatic Text Classification with Synonyms and Phrases
      • Singular Value Decomposition in STATISTICA Text Mining and Document Retrieval
    • Weight of Evidence (WoE) Overview
      • Weight of Evidence (WoE)
        • WoE Settings
        • Interaction Terms
        • Custom Split Groups
        • Customize Groups for a Categorical Variable
      • Weight of Evidence (WoE) Technical Notes
      • Weight of Evidence (WoE) example
  • Statistics
    • Basic Statistics Overview
      • Descriptive Statistics Overview
        • True Mean and Confidence Level
        • Shape of the Distribution, Normality
        • Other Descriptive Statistics
        • Correlations - Introductory Overview
          • Simple Linear Correlation (Pearson r)
          • How to Interpret the Value of Correlation
          • Significance of Correlations
          • Outliers
          • Quantitative Approach to Outliers
          • Correlations in Non-homogeneous Groups
          • Nonlinear Relations between Variables
          • Measuring Nonlinear Relations
          • Exploratory Examination of Correlation Matrices
          • Casewise vs. Pairwise Deletion of Missing Data
          • How to Identify Biases Caused by the Bias due to Pairwise Deletion of Missing Data
          • Pairwise Deletion of Missing Data vs. Mean Substitution
          • Spurious Correlation
          • Are Correlation Coefficients Additive?
          • How to Determine Whether Two Correlation Coefficients are Significant
          • Other Correlation Coefficients
        • t-test for Independent Samples - Introductory Overview
          • t-test for Independent Samples - Arrangement of Data
          • t-test for Independent Samples - Alternative Arrangement of Data
          • t-test for Independent Samples - t-test Graphs
          • t-test for Independent Samples - More Complex Group Comparisons
        • t-test for Dependent Samples - Within-Group Variation
          • t-Test for dependent samples - purpose
          • t-test for Dependent Samples - Assumptions
          • t-test for Dependent Samples - Arrangement of Data
          • t-test for Dependent Samples - Matrices of t-tests
          • t-test for Dependent Samples - More Complex Group Comparisons
        • t-test for Single Means - Introductory Overview
        • Descriptive Statistics by Groups (Breakdown) - Introductory Overview
          • Arrangement of Data
          • Statistical Tests in Breakdowns
          • Other Related Data Analysis Techniques
          • Post-hoc Comparisons of Means
          • Breakdown vs. Discriminant Function Analysis
          • Breakdown vs. Frequency Tables
          • Graphical Breakdowns
        • Frequency Tables Overview
        • Description of Joint Frequency Distributions with Crosstabulations
          • 2 x 2 Tables
            • Marginal Frequencies
            • Column, Row, and Total Percentages
            • Graphical Representations of Crosstabulations
          • Stub-and-Banner Tables
            • Multiway Tables with Control Variables
            • Graphical Representations of Multi-way Tables
          • Statistics in Crosstabulations
            • Pearson Chi-square
            • Maximum Likelihood Chi-square
            • Yates Correction
            • Fisher Exact Test
            • McNemar Chi-square
            • Coefficient Phi
            • Coefficient of Contingency
            • Cramer's V
            • Tetrachoric Correlation
            • Interpretation of Contingency Measures
          • Statistics in Crosstabulations - Statistics Based on Ranks
          • Multiple Responses/Dichotomies - Overview
            • Multiple Responses/Dichotomies - Multiple Response Variables
            • Multiple Responses/Dichotomies - Multiple Dichotomies
            • Multiple Responses/Dichotomies - Crosstabulation of Multiple Responses/Dichotomies
            • Multiple Responses/Dichotomies - Paired Crosstabulation of Multiple Response Variables
            • Multiple Responses/Dichotomies - A Final Comment
        • Probability Distribution Calculator - Overview
          • Beta Distribution for the Probability Distribution Calculator
          • Cauchy Distribution for the Probability Distribution Calculator
          • Chi-square Distribution for the Probability Distribution Calculator
          • Exponential Distribution for the Probability Distribution Calculator
          • Extreme Value Distribution for the Probability Distribution Calculator
          • F Distribution for the Probability Distribution Calculator
          • Gamma Distribution for the Probability Distribution Calculator
          • Laplace Distribution for the Probability Distribution Calculator
          • Logistic Distribution for the Probability Distribution Calculator
          • Log-normal Distribution for the Probability Distribution Calculator
          • Pareto Distribution for the Probability Distribution Calculator
          • Rayleigh Distribution for the Probability Distribution Calculator
          • t (Student) Distribution for the Probability Distribution Calculator
          • Weibull Distribution for the Probability Distribution Calculator
          • Z (Normal) Distribution for the Probability Distribution Calculator
        • Other Significance Tests - Introductory Overview
      • Basic Statistics and Tables
        • Basic Statistics and Tables - Quick Tab
          • Probability Distribution Calculator
          • Pearson Product Moment Correlation Distribution
          • Difference Tests: R, %, Means
        • Basic Statistics and Tables dialog box - Quick tab
          • Descriptive Statistics - Quick Tab
          • Descriptive Statistics - Advanced tab
          • Descriptive Statistics - Robust Tab
          • Descriptive Statistics - Normality Tab
          • Descriptive Statistics - Prob. & Scatterplots tab
          • Descriptive Statistics - Categ. Plots tab
          • Descriptive Statistics - Options tab
        • Product-Moment and Partial Correlations
          • Product-Moment and Partial Correlations - Quick tab
          • Product-Moment and Partial Correlations - Advanced Tab
          • Product-Moment and Partial Correlations - Options tab
        • T-Test for Independent Samples by Groups
          • T-Test for Independent Samples by Groups - Quick Tab
            • T-Test for Independent Samples by Groups - Advanced Tab
            • T-Test for Independent Samples by Groups - Options Tab
          • T-Test for Independent Samples by Variables
            • T-Test for Independent Samples by Variables - Quick Tab
            • T-Test for Independent Samples by Variables - Options Tab
          • T-Test for Dependent Samples
            • T-Test for Dependent Samples - Quick tab
            • T-Test for Dependent Samples - Advanced tab
          • T-Test for Single Means
            • T-Test for Single Means - Quick tab
            • T-Test for Single Means - Advanced tab
            • T-Test for Single Means - Options tab
            • Select Reference Values
        • Statistics by Groups (Breakdown)
          • Statistics by Groups (Breakdown) - Lists of Tables tab
          • Statistics by Groups (Breakdown) - Individual Tables tab
            • Select Codes for ...
          • Statistics by Groups Results
            • Statistics by Groups Results - Quick tab
            • Statistics by Groups Results - Post-Hoc tab
            • Statistics by Groups Results - Descriptives tab
              • Order of Factors for Breakdown Tables
              • Specific Marginal Table
            • Statistics by Groups Results - ANOVA & Tests tab
              • Select the Variables for Interaction Plot
              • Arrangement of Factors
            • Statistics by Groups Results - Correlations tab
              • Order of Factors for Breakdown Tables
              • Select Groups
          • Statistics Breakdown (Non-Factorial)
            • Statistics Breakdown (Non-Factorial) - Quick tab
            • Statistics Breakdown (Non-Factorial) - Descriptives tab
            • Descriptive Statistics - Robust Tab
        • Frequency Tables
          • Frequency Tables - Quick Tab
          • Frequency Tables - Options Tab
          • Frequency Tables - Descr. Tab
          • Frequency Tables - Normality Tab
          • Frequency Tables - Advanced Tab
            • Select Codes for ...
            • Define Categories
        • Crosstabulation Tables
          • Crosstabulation Tables - Stub-and-Banner Tab
            • Crosstabulation Tables - Crosstabulation Tab
            • Select the Tables to be Deleted
            • Select Codes for ...
          • Crosstabulation Tables Results
            • Crosstabulation Tables Results - Quick Tab
            • Crosstabulation Tables Results - Options Tab
            • Select the Tables You Want to Review
            • Crosstabulation Tables Results - Advanced Tab
              • Select the Variables for Interaction Plot
              • Arrangement of Factors
        • Multiple Response Tables
          • Multiple Response Tables - Quick Tab
            • Multiple Response Tables - Options Tab
            • Long Factor Labels for Multiple Response Sets
          • Multiple Response Table Results
            • Multiple Response Table Results - Quick Tab
            • Multiple Response Table Results - Options Tab
            • Multiple Response Table Results - Advanced Tab
              • Select the Variables for Interaction Plot
              • Arrangement of Factors
      • Example 1: Descriptive Statistics, t-Tests, and Correlations
        • Example 2: Breakdown and One-Way ANOVA
        • Example 3: Frequency Tables
        • Example 4: Stub-and-Banner Tables
        • Example 5: Crosstabulation Tables
        • Example 6: Tabulating Multiple Responses and Dichotomies
        • Example 7: Detecting Outliers
        • Example 8: Visually Comparing Variables
        • Example 9: Using Contingency Tables to Compute Chi-Square Tests for Independence
        • Example 10: Chi-Square Test for Independence
      • Selecting a Weighting Variable
        • A Note on Precision
        • Statistics in Breakdown Procedures
    • Statistica Reporting Tables Overview
      • Statistica Reporting Tables
      • Code Settings
      • Multiple Response
      • Crosstable Group
      • Parameters Settings
      • Output Parameters Settings
      • Global Settings
      • Layout Style Selection
      • Add/Edit
    • Multiple Regression Analysis Overview
      • Multiple Regression Analysis Introductory Overview - Computational Approach
        • Computational Approach - Least Squares
        • Computational Approach - Weighted Least Squares
        • Computational Approach - The Regression Equation
        • Computational Approach - Unique Prediction and Partial Correlation
        • Computational Approach - Predicted and Residual Scores
        • Computational Approach - Residual Variance and R-square
        • Computational Approach - Interpreting the Correlation Coefficient R
      • Assumptions, Limitations, Practical Considerations - Assumption of Linearity
        • Assumptions, Limitations, Practical Considerations - Normality Assumption
        • Assumptions, Limitations, Practical Considerations - Limitations
        • Assumptions, Limitations, Practical Considerations - Choice of the Number of Variables
        • Assumptions, Limitations, Practical Considerations - Multicollinearity and Matrix Ill-conditioning
        • Assumptions, Limitations, Practical Considerations - The Importance of Residual Analysis
      • Multiple Linear Regression Startup Panel
        • Multiple Linear Regression Startup Panel - Quick Tab
        • Multiple Linear Regression Startup Panel - Advanced Tab
        • Model Definition
          • Model Definition - Quick Tab
          • Model Definition - Advanced Tab
          • Model Definition - Descriptives Tab
          • Model Definition - Stepwise Tab
      • Multiple Regression Results
        • Multiple Regression Results - Quick Tab
        • Multiple Regression Results - Advanced Tab
        • Multiple Regression Results - Residuals/Assumptions/Prediction Tab
          • Specify Values for Indep. Vars
          • Residual Analysis
            • Residual Analysis - Advanced Tab
            • Residual Analysis - Residuals Tab
            • Residual Analysis - Predicted Tab
            • Residual Analysis - Scatterplots Tab
            • Residual Analysis - Probability Plots Tab
            • Residual Analysis - Outliers Tab
            • Residual Analysis - Save Tab
            • Residual Analysis - Quick Tab
              • Residuals and Predicted Values
          • Review Descriptive Statistics
            • Review Descriptive Statistics - Quick Tab
            • Review Descriptive Statistics - Advanced Tab
            • Review Descriptive Statistics - Matrix Tab
      • Example 1: Standard Regression Analysis
        • Example 2: Stepwise Regression Analysis
      • Multiple Regression - Notes and Technical Information
    • General ANOVA/MANOVA Overview
      • ANOVA/MANOVA - Methods for Specifying Designs
        • General ANOVA/MANOVA
        • General ANOVA/MANOVA - Quick Tab
          • Quick Tab
          • One-way ANOVA in General ANOVA/MANOVA
          • Main Effects ANOVA in General ANOVA/MANOVA
          • Factorial ANOVA in General ANOVA/MANOVA
          • Repeated Measures ANOVA in General ANOVA/MANOVA
        • ANOVA/MANOVA Quick Specs
          • ANOVA/MANOVA Quick Specs - Options Tab
          • ANOVA/MANOVA Quick Specs - Quick Tab
          • Specify Within-Subjects Factor
          • Select Codes for ...
        • MAN Analysis Wizard--Between Design
          • MAN Analysis Wizard--Between Design - Default Between Design Tab
          • MAN Analysis--Wizard Between Design - Custom Between Design Tab
          • MAN Analysis Wizard--Extended Options
            • MAN Analysis Wizard--Extended Options - Quick Tab
            • MAN Analysis Wizard--Extended Options - Advanced Tab
        • ANOVA/ MANOVA Syntax - Overview
          • MAN Analysis Syntax Editor
          • MAN Analysis Syntax Editor - Keywords Tab
          • MAN Analysis Syntax Editor - Specifications Tab
        • ANOVA Results
          • ANOVA Results - Quick Tab
          • GLM and ANOVA Results - Summary Tab
          • GLM, GRM, and ANOVA Results - Means Tab
          • GLM, GRM, and ANOVA Results - Comps Tab
          • GLM, GRM, and ANOVA Results - Resids Tab
          • GLM, GRM, and ANOVA Results - Matrix Tab
          • GLM, GLZ, GRM, PLS, and ANOVA Results - Report Tab
          • GLM, GRM, and ANOVA Results - Profiler Tab
            • Desirability Profiling in GLM, GRM, and MANOVA
          • ANOVA More Results
            • GLM and ANOVA More Results - Summary Tab
            • GLM, GRM, and ANOVA More Results - Means Tab
            • GLM, GRM, and ANOVA More Results - Planned Comps Tab
            • GLM, GRM, and ANOVA More Results - Post-hoc Tab
            • GLM, GRM, and ANOVA More Results - Assumptions Tab
            • GLM, GRM, and ANOVA More Results - Custom Tests Tab
            • GLM, GRM, and ANOVA More Results - Residuals 1 Tab
            • GLM, GRM, and ANOVA More Results - Residuals 2 Tab
            • GLM, GRM, and ANOVA More Results - Matrix Tab
            • GLM, GRM, and ANOVA More Results - Report Tab
            • GLM, GRM, and ANOVA More Results - Profiler Tab
              • Desirability Profiling in GLM, GRM, and MANOVA
        • Example 1: Simple Factorial ANOVA with Repeated Measures
          • Example 2: A 2 x 3 Between-Groups ANOVA Design
          • Example 3: A 2-Level Between-Group x 4-Level Within-Subject Repeated Measures Design
          • ANOVA/MANOVA Syntax - Examples
        • ANOVA/MANOVA - Notes and Technical Information
          • ANOVA/MANOVA - Methods for Analysis of Variance
    • Nonparametric Statistics Introductory Overview - General Purpose
      • Nonparametric Methods Overview
        • Nonparametric Statistics Introductory Overview - When to Use Which Method
        • Nonparametric Correlations
      • Nonparametric Statistics Startup Panel and Quick Tab
        • 2 x 2 Tables
          • 2x2 Tables - Quick Tab
        • Observed vs. Expected Frequency
          • Observed vs. Expected Frequency - Quick Tab
        • Nonparametric Correlations
          • Nonparametric Correlation - Quick Tab
          • Nonparametric Correlation - Advanced Tab
        • Comparing Two Groups
          • Comparing Two Groups - Quick Tab
        • Kruskal-Wallis ANOVA and Median Test
          • Kruskal-Wallis ANOVA and Median Test - Quick Tab
        • Comparing Two Variables
          • Comparing Two Variables - Quick Tab
        • Friedman ANOVA by Ranks
          • Friedman ANOVA by Ranks - Quick Tab
          • Box-Whisker Type
        • Cochran Q Test
          • Cochran Q Test - Quick Tab
        • Descriptive Statistics
          • Descriptive Statistics - Quick Tab
          • Box-Whisker Type
      • Example 1: 2 x 2 Tables
        • Example 2: Sign Test
        • Example 3: Observed vs. Expected Chi-Square
        • Example 4: Correlations
        • Example 5: Wald-Wolfowitz Runs Test, Mann-Whitney U Test, Kolmogorov-Smirnov Two-Sample Test
        • Example 6: Kruskal-Wallis ANOVA & Median Test
        • Example 7: Friedman ANOVA & Kendall Concordance
        • Example 8: Wilcoxon Matched Pairs Test
        • Example 9: Cochran Q Test
        • Example 10: Descriptive Statistics
      • Nonparametric Statistics Notes - 2x2 Tables, Chi/V/Phi Square, McNemar, Fisher Exact
        • Nonparametrics Statistics Notes - Observed vs. Expected Chi-square
        • Nonparametrics Statistics Notes - Correlations (Spearman, Kendall tau, Gamma)
        • Nonparametric Statistics Notes - Wald-Wolfowitz Runs Test
        • Nonparametrics Statistics Notes - Kolmogorov-Smirnov Two-Sample Test
        • Nonparametrics Statistics Notes - Mann-Whitney U Test
        • Nonparametrics Statistics Notes - Kruskal-Wallis ANOVA by Ranks and Median Test
        • Nonparametrics Statistics Notes - Sign Test
        • Nonparametrics Statistics Notes - Wilcoxon Matched Pairs Test
        • Nonparametric Statistics Notes - Friedman ANOVA and Kendall Concordance
        • Nonparametric Statistics Notes - Cochran Q Test
        • Nonparametric Statistics Notes - Ordinal Descriptive Statistics
    • Distribution Fitting Overview
      • Distribution Fitting Introductory Overview - Fit of the Distribution
        • Distribution Fitting Introductory Overview - Types of Distributions
      • Distribution Fitting Startup Panel and Quick Tab
        • Fitting Continuous Distributions
          • Fitting Continuous Distributions - Quick Tab
          • Fitting Continuous Distributions - Parameters Tab
          • Fitting Continuous Distributions - Options Tab
        • Fitting Discrete Distributions
          • Fitting Discrete Distributions - Quick Tab
          • Fitting Discrete Distributions - Parameters Tab
          • Fitting Discrete Distributions - Options Tab
        • Distribution Fitting Example
    • Distributions & Simulation Overview
      • Distributions & Simulation Analysis Startup Panel and Quick Tab
      • Fit Distributions Dialog Box and Quick Tab
        • Fit Distributions - Continuous Variables Tab
        • Fit Distributions - Discrete Variables Tab
        • Fit Distributions - Options Tab
      • Simulation Methods
        • Design Simulation
        • Define Distributions
        • Default Distributions
        • Correlation Parameters
      • Model Profiler Introductory Overview
        • Model Profiler
          • Model Profiler - Profiler Tab
          • Model Profiler - Output Tab
        • Example: Model Profiler in Distributions & Simulation
          • Example: Model Profiler in DOE
          • Example: Model Profiler in GLM
      • Fit Distributions Results Dialog Box and Quick Tab
        • Save Fit
        • Define Distributions
      • Distributions & Simulation Example
    • Advanced Linear Nonlinear Models
      • Generalized Linear Model (GLM) Overview
        • Generalized Linear Model (GLM) Overview - Basic Ideas: The General Linear Model
          • Generalized Linear Model (GLM) Overview - Historical Background
          • Generalized Linear Model (GLM) Overview - The Purpose of Multiple Regression
          • Generalized Linear Model (GLM) Overview - Computations for Solving the Multiple Regression Equation
          • Generalized Linear Model (GLM) Introductory Overview - Extension of Multiple Regression to the General Linear Model
          • Generalized Linear Model (GLM) Introductory Overview - Sigma-Restricted and Overparameterized Model
          • Generalized Linear Model (GLM) Introductory Overview - Summary of Computations
          • Generalized Linear Model (GLM) Introductory Overview - Types of Analyses
          • Generalized Linear Model (GLM) Introductory Overview - Multivariate Designs
          • Generalized Linear Model (GLM) Introductory Overview - Between-Subject Designs Overview
          • GLM Introductory Overview - One-Way ANOVA
          • GLM Introductory Overview - Main Effect ANOVA
          • GLM Introductory Overview - Factorial ANOVA
          • GLM Introductory Overview - Nested ANOVA Designs
          • GLM Introductory Overview - Balanced ANOVA
          • GLM Introductory Overview - Simple Regression
          • GLM Introductory Overview - Multiple Regression
          • GLM Introductory Overview - Factorial Regression
          • GLM Introductory Overview - Polynomial Regression
          • GLM Introductory Overview - Response Surface Regression
          • GLM Introductory Overview - Mixture Surface Regression
          • Analysis of Covariance (ANCOVA) - Basic Ideas
          • GLM Introductory Overview - Analysis of Covariance
          • GLM Introductory Overview - Separate Slope Designs
          • GLM Introductory Overview - Homogeneity of Slopes
          • GLM Introductory Overview - Mixed Model ANOVA and ANCOVA
          • Generalized Linear Model (GLM) Introductory Overview - Within-Subject (Repeated Measures) Designs Overview
          • GLM Introductory Overview - One-Way Within-Subject Designs
          • GLM Introductory Overview - Multi-Way Within-Subject Designs
          • GLM Introductory Overview - Multivariate Approach to Repeated Measures
          • GLM Introductory Overview - Doubly Multivariate Designs
        • Generalized Linear Model (GLM) Introductory Overview - Hypothesis Testing
          • Generalized Linear Model (GLM) Hypothesis Testing - Testing the Whole Model
          • GLM Hypothesis Testing - Partitioning Sums of Squares
          • GLM Hypothesis Testing - Limitations of Whole Model Tests
        • Generalized Linear Model (GLM) Hypothesis Testing - Six Types of Sums of Squares
          • GLM Hypothesis Testing - Contained Effects
          • GLM Hypothesis Testing - Type I Sums of Squares
          • GLM Hypothesis Testing - Type II Sums of Squares
          • GLM Hypothesis Testing - Type III Sums of Squares
          • GLM Hypothesis Testing - Type IV Sums of Squares
          • GLM Hypothesis Testing - Type V Sums of Squares
          • GLM Hypothesis Testing - Type VI (Effective Hypothesis) Sums of Squares
        • Generalized Linear Model (GLM) Hypothesis Testing - Repeated Measures and Multiple Dependent Variables
        • Generalized Linear Model (GLM) Hypothesis Testing - Testing Specific Hypotheses
          • GLM Hypothesis Testing - Estimability of Hypotheses
          • GLM Hypothesis Testing - Linear Combinations of Effects
          • GLM Hypothesis Testing - Planned Comparisons of Least Square Means
          • GLM Hypothesis Testing - Post-Hoc Comparisons
          • A-Priori Comparisons of Least Observed Squares Means vs. Post-hoc Comparisons of Means
        • Generalized Linear Model (GLM) Hypothesis Testing - Lack-of-Fit Tests using Pure Error
          • GLM Hypothesis Testing - Designs with Zero Degrees of Freedom for Error
          • GLM Hypothesis Testing - Tests in Mixed Model Designs
        • GLM Introductory Overview - Comparison with Other General Linear Model Programs
          • Generalized Linear Model (GLM) Introductory Overview - Sigma-Restricted and Overparameterized Model
          • Generalized Linear Model (GLM) Unique Features - Efficient Computations for Balanced ANOVA Designs
          • GLM Unique Features - Analysis of Incomplete Designs
          • GLM Unique Features - Planned Comparisons of Least Squares Means
          • Generalized Linear Model (GLM) Unique Features - Post-Hoc Tests for Repeated Measures Effects
          • Generalized Linear Model (GLM) Unique Features - Plots of Interactions
          • Generalized Linear Model (GLM) Unique Features - Desirability Profiles and Response Optimization
          • Generalized Linear Model (GLM) Unique Features - Tests of Assumptions, Residual Statistics
          • Generalized Linear Model (GLM) Unique Features - Cross-Validation and Prediction Samples
        • One-way ANOVA in GLM, GLZ, and PLS
          • Main Effects ANOVA in GLM, GLZ, and PLS
          • Factorial ANOVA in GLM, GLZ, and PLS
          • Nested Design ANOVA in GLM, GLZ, and PLS
          • Huge Balanced ANOVA in GLM and GLZ
          • Repeated Measures ANOVA in GLM and GLZ
          • Simple Regression in GLM, GLZ, and PLS
          • Multiple Regression in GLM, GLZ, and PLS
          • Factorial Regression in GLM, GLZ, and PLS
          • Polynomial Regression in GLM, GLZ, and PLS
          • Response Surface Regression in GLM, GLZ, and PLS
          • Mixture Surface Regression in GLM and GLZ
          • Analysis of Covariance in GLM, GLZ, and PLS
          • Separate-Slopes Model in GLM, GLZ, and PLS
          • Homogeneity-of-Slopes Model in GLM, GLZ, and PLS
          • General Linear Models in GLM, GLZ, and PLS
        • GLM - Methods for Specifying Designs
          • General Linear Models (GLM) Startup Panel
          • General Linear Models (GLM) and Quick Tab
          • GLM Analysis Syntax Editor
            • GLM Analysis Syntax Editor - Keywords Tab
            • Tibco2020GLM Analysis Syntax Editor - Specifications Tab
              • Variable Names to Insert
              • SAS Syntax - Specification Options for SAS Syntax
            • SAS Syntax - Overview
              • SAS Syntax - Keyword Class
              • SAS Syntax - Keyword Model
              • SAS Syntax - Keyword Random
              • SAS Syntax - Keyword Repeated
            • GLM (STATISTICA) Syntax - Overview
              • GLM, GLZ, GRM, PLS, and GDA Syntax - Keyword Covariate
              • GLM, GRM, PLS, and MANOVA Syntax - Keyword Dependent
              • GLM, GLZ, PLS, GDA, and MANOVA Syntax - Keyword Design
              • GLM, GRM, and MANOVA Syntax - Keyword Estimate
              • GLM, GLZ, GRM, PLS, GDA, and MANOVA Syntax - Keyword Groups
              • GLM, GLZ, GRM, GDA, and MANOVA Syntax - Keyword IDelta
              • GLM, GLZ, GRM, and MANOVA Syntax - Keyword Intercept
              • GLM, GRM, and MANOVA Syntax - Keyword Lackoffit
              • GLM, GLZ, GRM, and PLS Syntax - Keyword Mixture
              • GLM, GLZ, GRM, PLS, GDA, MANOVA, and SAS Syntax - Keyword Output
              • GLM, GLZ, PLS, and MANOVA Syntax - Keyword Param
              • GLM Syntax - Keyword Random
              • GLM and MANOVA Syntax - Keyword Repeated
              • GLM, GLZ, GRM, PLS, GDA, and MANOVA Syntax - Keyword Sample
              • GLM, GLZ, GRM, GDA, and MANOVA Syntax - Keyword SDelta
              • GLM and MANOVA Syntax - Keyword SSType 
              • GLM, GLZ, GRM, PLS, and GDA Syntax - Keyword Surface
              • GLM and MANOVA Syntax - Keyword WDesign
            • Alternative Method for Specifying GLM Designs in Macros (Automation)
          • GLM Analysis Wizard Between Design
            • GLM Analysis Wizard Between Design - Default Between Design Tab
              • GLM Analysis Wizard Between Design - Custom Between Design Tab
            • GLM Analysis Wizard Extended Options
              • GLM Analysis Wizard Extended Options - Quick Tab
              • GLM Analysis Wizard Extended Options - Advanced Tab
            • GLM Quick Specs
              • GLM Quick Specs - Quick Tab
              • GLM Quick Specs - Options Tab
              • GLM Between Effects (Factorial Design)
                • Nesting For Between-Groups Factors
                • GLM Between Effects (Polynomial Regression)
                • Random Effects (Mixed Model)
                • GLM Between Effects
                  • GLM, GLZ, GRM, and PLS - Specifying Effects for the Between Group Design
                • Specify Within-Subjects Factors
                  • GLM Effects for Within Design
                  • GLM Specifying Repeated Measures Designs - Specifying More than One Repeated Measures Factor
                  • GLM Specifying Repeated Measures Designs - Multivariate Repeated Measures Designs
        • GLM Results
          • GLM Results - Quick Tab
          • Table of All Effects
          • GLM and ANOVA Results - Summary Tab
            • Specify Effect to Estimate
            • Table of All Effects
            • Summary Results for Between Effects in GLM and ANOVA
            • Summary Results for Within Effects in GLM and ANOVA
            • Summary Results for Random Effects in GLM
          • GLM, GRM, and ANOVA Results - Means Tab
            • Values for Covariates
            • Specify the Arrangement of the Factors in the Plot
            • Dependent Vars for the Plot
          • GLM, GRM, and ANOVA Results - Comps Tab
            • Specify Contrasts / Repeated Measures Factors
            • Specify Contrasts for this Factor / Enter Contrasts for this Factor / Contrasts for Dependent Variables
            • Contrasts for Between-Group Factors / Contrasts for Within-Subject Factors
            • Polynomial Coefficients
            • Predefined Contrasts
          • GLM, GRM, and ANOVA Results - Profiler Tab
            • Desirability Profiling in GLM, GRM, and MANOVA
            • Options for Response Profiler
            • Specifications for Factor Grid
            • Select Factor/Covariate Values
          • GLM, GRM, and ANOVA Results - Resids Tab
          • GLM, GRM, and ANOVA Results - Matrix Tab
            • Between Design Matrices in GLM, GRM, and ANOVA
            • Between Effects Matrices in GLM, GRM, and ANOVA
            • Within Effects Matrices in GLM, GRM, and ANOVA
          • GLM, GLZ, GRM, PLS, and ANOVA Results - Report Tab
          • GLM  More Results
            • GLM and ANOVA More Results - Summary Tab
              • Summary More Results for Between Effects in GLM, GRM, and ANOVA
              • Summary More Results for Within Effects in GLM and ANOVA
            • GLM, GRM, and ANOVA More Results - Means Tab
            • GLM, GRM, and ANOVA More Results - Planned Comps Tab
            • GLM, GRM, and ANOVA More Results - Post-hoc Tab
              • Post-hoc Tests in GLM, GRM, and ANOVA
              • Display Post-hoc Tests Results in GLM, GRM, and ANOVA
              • Error Term for Post-hoc Tests in GLM, GRM, and ANOVA
              • Variables for Post Hoc Tests
            • GLM, GRM, and ANOVA More Results - Assumptions Tab
              • Select Groups
            • GLM, GRM, and ANOVA More Results - Profiler Tab
              • Desirability Profiling in GLM, GRM, and MANOVA
            • GLM, GRM, and ANOVA More Results - Custom Tests Tab
            • GLM, GRM, and ANOVA More Results - Residuals 1 Tab
            • GLM, GRM, and ANOVA More Results - Residuals 2 Tab
            • GLM, GRM, and ANOVA More Results - Matrix Tab
            • GLM, GRM, and ANOVA More Results - Report Tab
          • Example 1: A 2 x 3 Between-Groups Factorial ANOVA Design
            • Example 2: One-Way ANOVA Design
            • Example 3: Main Effects ANOVA Design
            • Example 4: Mixed-Model Factorial ANOVA Design
            • Example 5: Mixed-Model Nested ANOVA Design
            • Example 6: Repeated Measures ANOVA Design
            • Example 7: Simple Regression Analysis
            • Example 8: Multiple Regression Analysis
            • Example 9: Response Surface Design
            • Example 10: Mixture Surface Design
            • Example 11: MANCOVA Design
          • Advanced Example 1: Type V Sums of Squares
            • Advanced Example 2: Planned Comparisons of Least Squares Means
            • Advanced Example 3: Custom Within Designs
            • Advanced Example 4: Post-Hoc Tests for Repeated Measures
            • Advanced Example 5: Specifying a Process-Mixture Design
            • Advanced Example 6: Response Optimization
            • Advanced Example 7: Cross-Validation
          • GLM Syntax Examples Overview
            • GLM Syntax - Example 1: 4-Way Between Group Design
            • GLM Syntax - Example 2: Between-within (repeated measures) design
            • GLM Syntax - Example 3: Hierarchically Nested Design with Random Effects
            • GLM Syntax - Example 4: Multiple Regression
            • GLM Syntax - Example 5: 2(k-p) Fractional Factorial
            • GLM Syntax - Example 6: Response Surface Design and Lack of Fit
            • GLM Syntax - Example 7: Mixture Design
            • GLM Syntax - Example 8: Mixture/Process Design
            • GLM Syntax - Example 9: Multivariate Repeated Measures
            • GLM Syntax - Example 10: Equality of Regression Coefficients
            • GLM Syntax - Example 11: Cross-over design
          • General ANOVA/MANOVA and GLM - Notes
            • General ANOVA/MANOVA and GLM Notes - Specifying Univariate and Multivariate Between-Groups Designs
              • Specifying Univariate and Multivariate Between-Groups Designs - One-Way Between-Groups ANOVA and Contrast Analysis
              • Specifying Univariate and Multivariate Between-Groups Designs - Multi-Way Between-Groups ANOVA and Contrast Analysis
              • Specifying Univariate and Multivariate Between-Groups Designs - Isolated ("Hanging") Control Group
            • General ANOVA/MANOVA and GLM Notes - Specifying Within-Subjects (Repeated Measures) Univariate and Multivariate Designs
              • Specifying Within-Subjects (Repeated Measures) Univariate and Multivariate Designs - One-Way Within-Subjects ANOVA
              • Specifying Within-Subjects (Repeated Measures) Univariate and Multivariate Designs - One-Way Within-Subjects (Repeated Measures) ANOVA with Multiple Dependent Measures (MANOVA)
              • Specifying Within-Subjects (Repeated Measures) Univariate and Multivariate Designs - Multi-Way Within-Subjects ANOVA
              • Specifying Within-Subjects (Repeated Measures) Univariate and Multivariate Designs - Multivariate (MANOVA) Multi-Way Within-Subjects (Repeated Measures) Designs
              • Specifying Within-Subjects (Repeated Measures) Univariate and Multivariate Designs - Between-Within Univariate (ANOVA) and Multivariate (MANOVA) Designs
            • General ANOVA/MANOVA and GLM Notes - Multiple Dependent Measures (MANOVA)
            • General ANOVA/MANOVA and GLM Notes - Nested Designs and Latin Squares
              • Nested Designs and Latin Squares - Simple Between-Groups Nested Designs
              • Nested Designs and Latin Squares - Latin Squares, Greco-Latin Squares, Generalized Latin Squares
            • General ANOVA/MANOVA and GLM Notes - Other Special Designs
              • Other Special Designs - Designs with Cell N of 1
              • Other Special Designs - Randomized Block Designs
            • General ANOVA/MANOVA and GLM - Covariates
            • General ANOVA/MANOVA and GLM Notes - Random Effects
            • General ANOVA/MANOVA and GLM Notes - Sums of Squares
              • Sums of Squares - Multiple Regression and ANOVA
              • Sums of Squares - Unbalanced and Balanced Designs
              • Sums of Squares - Type I, II, III, and IV Sums of Squares
              • Sums of Squares - Interpreting Type I, II, III Hypotheses
      • Generalized Linear/Nonlinear Models (GLZ) Overview
        • GLZ Introductory Overview - Basic Ideas
          • GLZ Introductory Overview - Computational Approach
          • GLZ Introductory Overview - Types of Analyses
          • GLZ Introductory Overview - Model Building
          • GLZ Introductory Overview - Interpretation of Results and Diagnostics
        • GLZ - Methods for Specifying Designs
          • Generalized Linear/Nonlinear Models Startup Panel
            • Generalized Linear/Nonlinear Models - Quick Tab
            • Generalized Linear/Nonlinear Models - Advanced Tab
            • Specification Methods in GLZ
            • GLZ Computing
          • GLZ Analysis Syntax Editor
            • GLZ Analysis Syntax Editor - Keywords Tab
              • GLZ Analysis Syntax Editor - Specifications Tab
            • GLZ Syntax - Overview
              • GLZ Syntax - Keyword Converge
              • GLZ Syntax - Keyword Countv
              • GLZ Syntax - Keyword Initials
              • GLZ Syntax - Keyword Maxiter
              • GLZ Syntax - Keyword Offset
              • GLZ Syntax - Keyword Response
              • Best Subset Regression
              • Stepwise Regression
              • GLZ Syntax - Keyword Mbuild
                • Options for MBUILD
            • Alternative Method for Specifying GLM Designs in Macros (Automation)
          • GLZ Analysis Wizard Between Design
            • GLZ Analysis Wizard Between Design - Default Between Design Tab
            • GLZ Analysis Wizard Between Design - Custom Between Design Tab
            • GLZ Analysis Wizard Extended Options
              • GLZ Analysis Wizard Extended Options - Quick Tab
              • GLZ Analysis Wizard Extended Options - Advanced Tab
                • Select Start Values
          • GLZ Quick Specs
            • GLZ Quick Specs - Quick Tab
            • GLM Between Effects
            • GLZ Quick Specs - Advanced Tab
              • Select Start Values
        • GLZ Results
          • GLZ Results - Resid. 1 Tab
          • GLZ Results - Resid. 2 Tab
          • GLZ Results - Means Tab
          • GLM, GLZ, GRM, PLS, and ANOVA Results - Report Tab
          • GLZ Results - Summary Tab
            • Model Building Results in GLZ
            • All Effects Results in GLZ
            • Sample Options in GLZ
          • Example 1: Normal Linear Model with Log Link
            • Example 2: Binomial Linear Model with Logit Link (Logistic Regression)
            • Example 3: Ordinal Multinomial Linear Model with Probit Link
            • Example 4: Multinomial Linear Model with Generalized Logit Link
            • Example 5: Tweedie Distribution with Log Link
          • GLZ Syntax Examples
            • GLZ Syntax - Example 1: Multiple Regression with Categorical Predictors
            • GLZ Syntax - Example 2: Stepwise Multiple Regression
            • GLZ Syntax - Example 3: Best Subset Regression with Multinomial Response
            • GLZ Syntax - Example 4: Factorial Design and Binomial Response
      • Stepwise Model Builder Overview
        • Stepwise Model Builder - Logistic Regression
          • Marginal Statistics for Stepwise Model Builder - Logistic Regression
          • Model Statistics for Stepwise Model Builder - Logistic Regression
          • Stepwise Model Builder Example
        • Stepwise Model Builder - Cox Regression Introductory Overview
          • Stepwise Model Builder - Cox Regression
          • Marginal Statistics for Stepwise Model Builder - Cox Regression
          • Model Statistics for Stepwise Model Builder - Cox Regression
        • Stepwise Model Builder - Linear Regression Introductory Overview
          • Stepwise Model Builder - Linear Regression
          • Marginal Statistics for Stepwise Model Builder - Linear Regression
          • Model Statistics for Stepwise Model Builder - Linear Regression
      • General Regression Models (GRM) Overview
        • GRM Introductory Overview - Basic Ideas: The Need for Simple Models
          • GRM Introductory Overview - Model Building in GRM
          • GRM Introductory Overview - Types of Analyses
          • GRM Introductory Overview - Between-Subject Designs Overview
            • GRM Introductory Overview - Simple Regression
            • GRM Introductory Overview - Multiple Regression
            • GRM Introductory Overview - Factorial Regression
            • GRM Introductory Overview - Polynomial Regression
            • GRM Introductory Overview - Response Surface Regression
            • GRM Introductory Overview - Mixture Surface Regression
            • GRM Introductory Overview - One-Way ANOVA
            • GRM Introductory Overview - Main Effect ANOVA
            • GRM Introductory Overview - Factorial ANOVA
            • GRM Introductory Overview - Analysis of Covariance
            • GRM Introductory Overview - Homogeneity of Slopes
            • GRM Introductory Overview - Multivariate Designs Overview
          • GRM Introductory Overview - Building the Whole Model
            • GRM Whole Model - Partitioning Sums of Squares
            • GRM Whole Model - Testing the Whole Model
            • GRM Whole Model - Limitations of Whole Models
          • GRM Introductory Overview - Building Models via Best-Subset Regression
            • GRM Introductory Overview - Building Models via Stepwise Regression
            • GRM Stepwise Regression - The Initial Model in Stepwise Regression
            • GRM Introductory Overview - The Forward Entry Method
            • GRM Introductory Overview - The Backward Removal Method
            • GRM Introductory Overview - The Forward Stepwise Method
            • GRM Introductory Overview - The Backward Stepwise Method
            • GRM Introductory Overview - Entry and Removal Criteria
          • GRM Introductory Overview - Comparison with Other Regression Programs
          • GLM Unique Features - Planned Comparisons of Least Squares Means
            • Generalized Linear Model (GLM) Unique Features - Plots of Interactions
            • Generalized Linear Model (GLM) Unique Features - Desirability Profiles and Response Optimization
            • Generalized Linear Model (GLM) Unique Features - Tests of Assumptions, Residual Statistics
            • Generalized Linear Model (GLM) Unique Features - Cross-Validation and Prediction Samples
            • GLM Unique Features - Sigma-Restricted and Overparameterized Models
            • GLM Unique Features - Analysis of Incomplete Designs
        • Simple Regression in GRM
          • Multiple Regression in GRM
          • Factorial Regression in GRM
          • Polynomial Regression in GRM
          • Response Surface Regression in GRM
          • Mixture Surface Regression in GRM
          • One-way ANOVA Designs in GRM
          • Main Effects ANOVA in GRM
          • Factorial ANOVA in GRM
          • Analysis of Covariance in GRM
          • Homogeneity-of-Slopes Model in GRM
          • General Linear Models in GRM
        • GRM - Methods for Specifying Designs
          • General Regression Models Startup Panel
          • General Regression Models Startup Panel and Quick Tab
          • GRM Analysis Syntax Editor
            • GRM Analysis Syntax Editor - Keywords Tab
            • GRM Analysis Syntax Editor - Specifications Tab
            • GRM Syntax - Overview
              • GRM Syntax - Examples
              • GRM Syntax - Keyword Design
              • GRM and GDA Syntax - Keyword Force
              • GRM and GDA Syntax - Keyword Mbuild
              • GRM and GDA Syntax - Stepwise Regression
              • GRM and GLZ Syntax - Best Subset Regression
              • GRM and GDA Syntax - Options for MBUILD
            • Alternative Method for Specifying GLM Designs in Macros (Automation)
          • GRM Analysis Wizard: Between Design
            • GRM Analysis Wizard Between Design - Default Between Design Tab
            • GRM Analysis Wizard Between Design - Custom Between Design Tab
            • GRM Analysis Wizard Extended Options
              • GRM Analysis Wizard Extended Options - Quick Tab
              • GRM Analysis Wizard Extended Options - Advanced Tab
          • GRM Quick Specs
            • GRM Quick Specs - Quick Tab
            • GRM Between Effects
            • GRM Quick Specs - Options Tab
              • Stepwise Regression Options in GRM
              • Best Subset Regression Options in GRM
        • GRM Results
          • GRM Results - Quick Tab
          • GLM, GRM, and ANOVA Results - Means Tab
          • GLM, GRM, and ANOVA Results - Comps Tab
          • GLM, GRM, and ANOVA Results - Profiler Tab
          • Desirability Profiling in GLM, GRM, and MANOVA
          • GLM, GRM, and ANOVA Results - Resids Tab
          • GLM, GRM, and ANOVA Results - Matrix Tab
          • GLM, GLZ, GRM, PLS, and ANOVA Results - Report Tab
          • GRM Results - Summary Tab
            • GRM Whole Model R Results Spreadsheets
            • Model Building Results in GRM
        • GRM More Results
          • GRM More Results - Summary Tab
          • GLM, GRM, and ANOVA More Results - Means Tab
          • GLM, GRM, and ANOVA More Results - Planned Comps Tab
          • GLM, GRM, and ANOVA More Results - Post-hoc Tab
          • GLM, GRM, and ANOVA More Results - Assumptions Tab
          • GLM, GRM, and ANOVA More Results - Profiler Tab
          • Desirability Profiling in GLM, GRM, and MANOVA
          • GLM, GRM, and ANOVA More Results - Custom Tests Tab
          • GLM, GRM, and ANOVA More Results - Residuals 1 Tab
          • GLM, GRM, and ANOVA More Results - Residuals 2 Tab
          • GLM, GRM, and ANOVA More Results - Matrix Tab
          • GLM, GRM, and ANOVA More Results - Report Tab
        • General Regression Models (GRM) - Examples
          • Example 1: Stepwise Regression
          • Example 2: Best-Subset Regression
          • GRM Syntax - Example 1: Multiple Regression
            • GRM Syntax - Example 2: Stepwise Multiple Regression with Categorical Predictors
            • GRM Syntax - Example 3: Best-Subset Regression with Categorical Predictors
            • GRM Syntax - Example 4: Testing Equality of Regression Coefficients
      • Partial Least Squares (PLS) Overview
        • Partial Least Squares (PLS) Overview - Basic Ideas
          • Partial Least Squares (PLS) Overview - Computational Approach
          • Partial Least Squares (PLS) Overview - Training (Analysis) and Verification (Cross-Validation) Samples
          • Partial Least Squares (PLS) Overview - Types of Analyses
        • PLS - Methods for Specifying Designs
          • Partial Least Squares Models Startup Panel
          • Partial Least Squares Models Startup Panel - Quick Tab
            • Quick Tab
          • PLS Syntax - Overview
            • PLS Analysis Syntax Editor
            • PLS Analysis Syntax Editor - Keywords Tab
            • PLS Analysis Syntax Editor - Specifications Tab
            • PLS Syntax - Keyword Intercept
              • PLS Syntax - Keyword EDelta
              • PLS Syntax - Keyword Autoscale
              • PLS Syntax - Keyword Maxiter
              • PLS Syntax - Keyword Method
              • PLS Syntax - Keyword Ncompo
              • PLS Syntax - Keyword RDelta
            • Alternative Method for Specifying GLM Designs in Macros (Automation)
            • PLS Analysis Wizard Between Design
              • PLS Analysis Wizard Between Design - Default Between Design Tab
              • PLS Analysis Wizard Between Design - Custom Between Design Tab
              • PLS Analysis Wizard Extended Options
                • PLS Analysis Wizard Extended Options - Quick Tab
                • PLS Analysis Wizard Extended Options - Advanced Tab
            • PLS Quick Specs
              • PLS Quick Specs - Quick Tab
              • PLS Between Effects
            • PLS Quick Specs - Options Tab
        • PLS Results
          • PLS Results - Quick Tab
          • PLS Results - Summary Tab
          • PLS Results - Observational Tab
          • PLS Results - Distances Tab
          • PLS Results - Save Tab
          • GLM, GLZ, GRM, PLS, and ANOVA Results - Report Tab
        • Example 1: Multiple Regression
          • Example 2: Multivariate Regression
          • PLS Syntax - Examples
            • PLS Syntax - Example 1: Multiple Regression with Categorical Predictors
            • PLS Syntax - Example 2: Multivariate Regression with Categorical Predictors
            • PLS Syntax - Example 3: Multivariate Regression with SIMPLS
      • Multivariate Statistical Process Control (MSPC) and Nonlinear Iterative Partial Least Squares (NIPALS) Overview
        • PCA/PLS Startup Panel and Quick Tab
        • Deployment Model
          • Deployment Model - Quick Tab
          • Deployment Model - Results Tab
        • PCA
          • PCA - Quick Tab
          • PCA - NIPALS Tab
          • PCA - Fitting Tab
          • PCA - Options Tab
          • PCA - Advanced Tab
          • PLS Results
            • PCA Results - Quick Tab
            • PCA Results - Plots Tab
            • PCA Results - Advanced Tab
            • PCA Results - MD Tab
        • PLS
          • PLS - Quick Tab
          • PLS - NIPALS Tab
          • PLS - Fitting Tab
          • PLS - Options Tab
          • PLS - Advanced Tab
          • PLS Results
            • PLS Results - Quality Tab
            • PLS Results - Plots Tab
            • PLS Results - Advanced Tab
            • PLS Results - MD Tab
          • PCA Example
          • Principal Component Analysis (PCA) and Partial Least Squares (PLS) Technical Notes
      • Variance Components Overview
        • Basic Ideas of Variance Components Analysis
          • Basic Ideas of Variance Components Analysis - Properties of Random Effects
          • Estimation of Variance Components (Technical Overview)
          • Estimation of Variance Components - Estimating the Variation of Random Factors
          • Estimation of Variance Components - Estimating Components of Variation
          • Estimation of Variance Components - Testing the Significance of Variance Components
          • Estimation of Variance Components - Singular Hessian Matrix at Point of Conversion in Maximum Likelihood Estimation
          • Estimation of Variance Components - Estimating the Population Intraclass Correlation
          • Variance Components and Mixed Model ANOVA/ANCOVA Introductory Overview - Summary
        • Variance Components and Mixed Model ANOVA Startup Panel
          • Variance Components and Mixed Model ANOVA Startup Panel - Quick Tab
          • Variance Components and Mixed Model ANOVA Startup Panel - Advanced Tab
          • Variance Components and Mixed Model ANOVA Startup Panel - Model Tab
        • Variance Components and Mixed Model ANOVA/ANCOVA Results
          • Variance Components and Mixed Model ANOVA/ANCOVA Results - Quick Tab
          • Variance Components and Mixed Model ANOVA/ANCOVA Results - Estimation Tab
          • Variance Components and Mixed Model ANOVA/ANCOVA Results - Advanced Tab
            • Variance Components and Mixed Model ANOVA/ANCOVA - Summary: Components of Variance Spreadsheets
            • Variance Components and Mixed Model ANOVA/ANCOVA Method Options
        • Example 1: Variance Component Estimation for a Two-Way Random Factorial Design
          • Example 2: Variance Component Estimation for a Four-Way Mixed Factorial Design
          • Example 3: Variance Component Estimation for a Hierarchically Nested Random Design
          • Example 4: Estimating the Population Intraclass Correlation via Variance Components
        • Variance Components - Computational Details
      • Survival Analysis Overview
        • Censored Observations
        • Analytic Techniques
        • Life Table Analysis
        • Distribution Fitting
        • Kaplan-Meier Product-Limit Estimator
        • Comparing Samples
        • Survival Analysis Regression Models Overview
          • Survival Analysis Regression Models Methods
          • Cox's Proportional Hazard Model
          • Cox's Proportional Hazard Model with Time-Dependent Covariates
          • Exponential Regression
          • Normal and Lognormal Regression
          • Stratified Analyses
        • Survival and Failure Time Analysis Startup Panel and Quick Tab
          • Life Table and Distribution of Survival Times
          • Life Table & Distribution of Survival Times - Raw Data Tab
          • Life Table & Distribution of Survival Times - Table of Survival Times Tab
          • Product-Limit (Kaplan & Meier) Analysis
            • Product-Limit (Kaplan & Meier) Analysis - Analysis Tab
          • Comparing Survival in Two Groups
            • Comparing Survival in Two Groups - Analysis Tab
          • Comparing Survival in Multiple Groups
            • Comparing Survival in Multiple Groups - Analysis Tab
          • Regression Models for Censored Data
            • Regression Models for Censored Data - Quick Tab
            • Regression Models for Censored Data - Options Tab
            • Model Parameter Estimation
            • Regression Model Estimation
              • Regression Model Estimation - Review Tab
              • Regression Model Estimation - Estimation Tab
                • Specify Start Values
          • Proportional Hazard Model with Time-Dependent Covariates
            • Proportional Hazard Model with Time-Dependent Covariates - Quick Tab
            • Proportional Hazard Model with Time-Dependent Covariates - Options Tab
        • Life Table and Survival Time Distribution Results
          • Life Table and Survival Time Distribution Results - Quick Tab
          • Advanced Tab
          • Life Table and Survival Time Distribution Results - Function Plots Tab
        • Product-Limit (Kaplan-Meier) Analysis Results
          • Product-Limit (Kaplan-Meier) Analysis Results - Quick Tab
          • Product-Limit (Kaplan-Meier) Analysis Results - Advanced Tab
          • Product-Limit (Kaplan-Meier) Analysis Results - Kaplan- Meier Plots Tab
        • Two-Sample Tests Results
          • Two-Sample Tests Results - Quick Tab
          • Two-Sample Tests Results - Two-Sample Tests Tab
          • Two-Sample Tests Results - Function Plots Tab
        • Comparing Survival in Multiple Groups, Results
          • Comparing Survival in Multiple Groups, Results - Quick Tab
          • Comparing Survival in Multiple Groups, Results - Advanced Tab
          • Comparing Survival in Multiple Groups, Results - Descriptives Tab
        • Regression Results
          • Regression Results - Quick Tab
          • Regression Results - Advanced Tab
          • Regression Results - Function Plots Tab
            • Independent Variable Values
          • Regression Results - Advanced Tab
        • Survival Analysis Examples - Overview and Data File
          • Example 1: Actuarial Life Table
          • Example 2: Kaplan-Meier Product-Limit Estimates
          • Example 3: Comparing Survival in Two or More Groups
          • Example 4: Regression Models
          • Example 5: Cox Model with Time-Dependent Covariates
        • Survival Analysis - Notes and Technical Information
      • Cox Proportional Hazards Model Overview
        • Computational Details Overview
          • Time Dependent Covariates Overview
        • Cox Proportional Hazards Regression
          • Cox Proportional Hazards Regression - Quick Tab
          • Cox Proportional Hazards Regression - Options Tab
          • Cox Proportional Hazards Regression - Advanced Tab
          • Define Custom Design
          • Define Time-Dependent Covariate/Expressions
          • Enter Expression for Time Dependent Covariates
          • Nesting for Categorical Factors
        • Cox Proportional Hazards Results Dialog Box
          • Cox Proportional Hazards Results - Quick Tab
          • Cox Proportional Hazards Results - Survivor Function Tab
          • Cox Proportional Hazards Results - Plots Tab
        • Example 1 - Cox Proportional Hazards Model Survival
          • Example 2 - Cox Proportional Hazards Model Survival - Time-Dependent
          • Example 3 - Cox Proportional Hazards Model - Models for Recurrent Event Data
          • Example 4 - Cox Proportional Hazards Model - Building and Deployment to New Data
      • Nonlinear Estimation Overview
        • Nonlinear Estimation Introductory Overview - Estimating Linear and Nonlinear Models
          • Nonlinear Estimation - Common Nonlinear Regression Models
          • Common Nonlinear Regression Models - Intrinsically Linear Regression Models
          • Intrinsically Nonlinear Regression Models - General Growth Model
          • Intrinsically Nonlinear Regression Models - Models for Binary Responses: Probit & Logit
          • Intrinsically Nonlinear Regression Models - General Logistic Regression Model
          • Intrinsically Nonlinear Regression Models - Drug Responsiveness and Half-Maximal Response
          • Intrinsically Nonlinear Regression Models - Discontinuous Regression Models
          • Major Axis Regression
        • Nonlinear Estimation Procedures
          • Nonlinear Estimation Procedures - Least Squares Estimation
          • Nonlinear Estimation Procedures - Loss Functions
          • Nonlinear Estimation Procedures - Weighted Least Squares
          • Nonlinear Estimation Procedures - Maximum Likelihood
          • Nonlinear Estimation Procedures - Maximum Likelihood and Probit/Logit Models
          • Nonlinear Estimation Procedures - Function Minimization Algorithms
        • Nonlinear Estimation - Evaluating the Fit of the Model
          • Nonlinear Estimation Evaluating the Fit of the Model - Proportion of Variance Explained
          • Nonlinear Estimation Evaluating the Fit of the Model - Goodness-of-fit Chi-square
          • Nonlinear Estimation Evaluating the Fit of the Model - Plot of Observed vs. Predicted Values
          • Nonlinear Estimation Evaluating the Fit of the Model - Normal and Half-Normal Probability Plots
          • Nonlinear Estimation Evaluating the Fit of the Model - Plot of the Fitted Function
          • Nonlinear Estimation Evaluating the Fit of the Model - Variance/Covariance Matrix for Parameters
        • Specifying and Testing Specific Models
          • Nonlinear Estimation Startup Panel and Quick Tab
            • User-Specified Regression, Least Squares
            • User-Specified Regression, Least Squares - Quick Tab
              • Estimated Function
              • General Syntax Conventions: Regression Equations
              • Nonlinear Estimation - Syntax (User Functions)
                • Example: Specifying a Regression Model that Will Evaluate Differences Across Groups
                • Example: Using Logical Expressions to Estimate Regression Parameters
            • User-Specified Regression, Custom Loss
              • User-Specified Regression Function - Quick Tab
                • Estimated Function and Loss Function
                • General Syntax Conventions: Regression Equations
                • General Syntax Conventions: Loss Function
                • Nonlinear Estimation - Syntax (User Functions)
                  • Example: Specifying a Regression Model that Will Evaluate Differences Across Groups
            • Logistic Regression (Logit) and/or Probit Regression
              • Logistic Regression (Logit) and/or Probit Regression - Quick Tab
              • Probit/Logit Regression - Input File
            • Exponential Growth
              • Exponential Growth - Quick Tab
            • Breakpoint Regression
              • Breakpoint Regression - Quick Tab
          • Model Estimation
            • Model Estimation - Quick Tab
            • Model Estimation - Review Tab
            • Model Estimation - Advanced Tab
              • Specify Start Values
              • Specify Initial Step Sizes
          • Nonlinear Least Squares Model Estimation
            • Nonlinear Least Squares Model Estimation - Quick Tab
            • Nonlinear Least Squares Model Estimation - Review Tab
            • Nonlinear Least Squares Model Estimation - Advanced Tab
              • Specify Start Values
          • Nonlinear Estimation - Parameter Estimation
        • Nonlinear Estimation - Results
          • Nonlinear Estimation Results - Quick Tab
          • Nonlinear Estimation Results - Advanced Tab
          • Nonlinear Estimation Results - Residuals Tab
          • Nonlinear Estimation Results - Review Tab
        • Nonlinear Least Squares Results
          • Nonlinear Least Squares Results - Quick Tab
          • Nonlinear Least Squares Results - Advanced Tab
          • Nonlinear Least Squares Results - Residuals Tab
          • Nonlinear Least Squares Results - Review Tab
        • Example 1: Predicting Success/Failure
          • Example 2: Predicting Redemption of Coupons
          • Example 3: Predicting Recovery from Injury
          • Example 4: Comparing Two Learning Curves
          • Example 4.1: Estimating Two Different Models
          • Example 5: Regression in Pieces
          • Example 6: Estimating Drug Responsiveness (Half-Maximal Response)
          • Example 7: Weighted Least Squares
          • Example: Specifying a Regression Model that Will Evaluate Differences Across Groups
          • Example: Using Logical Expressions to Estimate Regression Parameters
          • Nonlinear Estimation Examples - Concluding Remarks
      • Fixed Nonlinear Regression Overview
        • Fixed Nonlinear Regression Startup Panel and Quick Tab
          • Non-linear Components Regression
          • Non-linear Components Regression - Quick Tab
        • Model Definition
          • Model Definition - Advanced Tab
          • Model Definition - Descriptives Tab
          • Model Definition - Stepwise Tab
          • Model Definition - Quick Tab
          • Select Dependent and Independent Variable Lists
        • Multiple Regression Results
          • Multiple Regression Results - Quick Tab
          • Multiple Regression Results - Advanced Tab
          • Multiple Regression Results - Residuals/Assumptions/Prediction Tab
          • Specify Values for Indep. Vars
          • Residual Analysis
            • Residual Analysis - Advanced Tab
            • Residual Analysis - Residuals Tab
            • Residual Analysis - Predicted Tab
            • Residual Analysis - Scatterplots Tab
            • Residual Analysis - Probability Plots Tab
            • Residual Analysis - Outliers Tab
            • Residual Analysis - Save Tab
            • Residual Analysis - Quick Tab
              • Residuals and Predicted Values
          • Review Descriptive Statistics
            • Review Descriptive Statistics - Quick Tab
            • Review Descriptive Statistics - Advanced Tab
            • Review Descriptive Statistics - Matrix Tab
          • Fixed Nonlinear Regression - Example
          • Multiple Regression - Notes and Technical Information
      • Log-Linear Analysis Overview
        • Two-way Frequency Tables
          • Multi-way Frequency Tables
          • The Log-Linear Model
          • Goodness-of-Fit
          • Automatic Model Fitting
        • Log-Linear Analysis UI
          • Automatic Selection of Best Model Dialog
          • Specify the Dimensions of the Table
          • Specify How to Review the Table
          • Specify Model to be Tested
          • Model Specification Dialog
          • Review/Save Tab
          • Quick Tab
            • Specify Model to be Tested
            • Automatic Selection of Best Model Dialog
            • Advanced Tab
              • Select Structural Zeros
        • Log-Linear Results Dialog
          • Log-Linear Analysis Results-Quick Tab
          • Summary Results Tab
          • More Fit Statistics Tab
        • Example 1: Specifying Tables Directly (Frequency Table Input)
          • Example 2: Log Linear Analysis of Frequency Tables (incomplete)
        • Notes and Technical Information Algorithms (incomplete)
      • Time Series Analysis Overview
        • Time Series Analysis Introductory Overview - General Introduction
          • Time Series Analysis Introductory Overview - Two Main Goals
          • Time Series Analysis - Identifying Patterns in Time Series Data
          • Identifying Patterns in Time Series Data - Systematic Pattern and Random Noise
          • Identifying Patterns in Time Series Data - Two General Aspects of Time Series Patterns
          • Identifying Patterns in Time Series Data - Trend Analysis
          • Identifying Patterns in Time Series Data - Analysis of Seasonality
          • Time Series Analysis Startup Panel
            • Time Series Analysis Startup Panel - Quick Tab
            • Time Series Analysis Startup Panel - Missing Data Tab
          • Time Series Analysis - Active Work Area
          • Single Series ARIMA
            • Single Series ARIMA - Advanced Tab
            • Single Series ARIMA Results - Autocorrelations Tab
            • Single Series ARIMA - Quick Tab
            • Time Series Analysis - Review Series Tab
              • Select Variables for Plot/Spreadsheet
          • Single Series ARIMA Results
            • Single Series ARIMA Results - Quick Tab
            • Single Series ARIMA Results - Review and Residuals Tab
            • Single Series ARIMA Results - Distribution of Residuals Tab
            • Single Series ARIMA Results - Autocorrelations Tab
            • Single Series ARIMA Results - Advanced Tab
              • Time Series Analysis - Specify the Smoothing Weights
            • Time Series Analysis - ARIMA
              • ARIMA - General Introduction
              • ARIMA - Two Common Processes
              • ARIMA - ARIMA Methodology
              • ARIMA - Identification
              • ARIMA - Parameter Estimation
              • ARIMA - Evaluation of the Model
              • Time Series Analysis - Interrupted Time Series ARIMA
          • Time Series Analysis - Interrupted Time Series ARIMA
            • Interrupted Time Series ARIMA (Intervention Analysis)
              • Interrupted Time Series ARIMA (Intervention Analysis) - Quick Tab
              • Interrupted Time Series ARIMA (Intervention Analysis) - Advanced Tab
              • Time Series Analysis - Autocorrelations Tab
              • Interrupted Time Series ARIMA (Intervention Analysis) - Review Impact Patterns Tab
              •  Interrupted Time Series ARIMA (Intervention Analysis) - Options Tab
              • Time Series Analysis - Specify Start Values
              • Time Series Analysis - Review Series Tab
                • Select Variables for Plot/Spreadsheet
            • Single Series ARIMA Results
              • Single Series ARIMA Results - Advanced Tab
              • Single Series ARIMA Results - Autocorrelations Tab
              • Single Series ARIMA Results - Distribution of Residuals Tab
              • Single Series ARIMA Results - Quick Tab
              • Single Series ARIMA Results - Review and Residuals Tab
            • Time Series Analysis - Impact Patterns
        • Time Series Analysis - Exponential Smoothing
          • Exponential Smoothing - General Introduction
            • Exponential Smoothing - Simple Exponential Smoothing
            • Exponential Smoothing - Choosing the Best Value for Parameter α (Alpha)
            • Exponential Smoothing - Indices of Lack of Fit (Error)
            • Exponential Smoothing - Seasonal and Non-seasonal Models With or Without Trend
            • Exponential Smoothing - Summary of Available Exponential Smoothing Models
          • Seasonal and Non-Seasonal Exponential Smoothing
            • Seasonal and Non-Seasonal Exponential Smoothing - Quick Tab
            • Seasonal and Non-Seasonal Exponential Smoothing - Advanced Tab
            • Time Series Analysis - Autocorrelations Tab
            • Seasonal and Non-Seasonal Exponential Smoothing - Grid Search Tab
            • Time Series Analysis - Review Series Tab
              • Select Variables for Plot/Spreadsheet
            • Seasonal and Non-Seasonal Exponential Smoothing - Automatic Search Tab
              • Automatic Parameter Search
          • Time Series Analysis - Exponential Smoothing Models
        • Time Series Analysis - Fast Fourier Transforms (FFT)
          • Fast Fourier Transforms (FFT) - General Introduction
            • Fast Fourier Transforms (FFT) - Computation of FFT in Time Series
          • Time Series Analysis - Single Spectrum (Fourier) Analysis
            • Spectrum Analysis - Basic Notation and Principles
              • Spectrum Analysis Basic Notation and Principles - Frequency and Period
              • Spectrum Analysis Basic Notation and Principles - The General Structural Model
              • Spectrum Analysis Basic Notation and Principles - A Simple Example
              • Spectrum Analysis Basic Notation and Principles - Periodogram
              • Spectrum Analysis Basic Notation and Principles - The Problem of Leakage
              • Spectrum Analysis Basic Notation and Principles - Padding the Time Series
              • Spectrum Analysis Basic Notation and Principles - Data Windows and Spectral Density Estimates
              • Spectrum Analysis Basic Notation and Principles - Tapering
              • Spectrum Analysis Basic Notation and Principles - Preparing the Data for Analysis
              • Spectrum Analysis Basic Notation and Principles - Results when no Periodicity in the Series Exists
            • Fourier (Spectral) Analysis
              • Fourier (Spectral) Analysis - Quick Tab
              • Fourier (Spectral) Analysis - Advanced Tab
              • Time Series Analysis - Autocorrelations Tab
              • Time Series Analysis - Review Series Tab
            • Single Series Fourier (Spectral) Analysis Results
              • Single Series Fourier (Spectral) Analysis Results - Quick Tab
              • Single Series Fourier (Spectral) Analysis Results - Review and Plot Tab
              • Single Series Fourier (Spectral) Analysis Results - Advanced Tab
              • Time Series Analysis - Specify the Smoothing Weights
            • Time Series Analysis - Single Series Fourier (Spectral) Analysis Summary Spreadsheet
          • Time Series Analysis - Cross-spectrum Analysis
            • Cross-spectrum Analysis - General Introduction
              • Cross-spectrum Analysis - Basic Notation and Principles
              • Cross-spectrum Analysis - Results for Each Variable
              • Cross-spectrum Analysis - Cross-periodogram, Cross-Density, Quadrature-density, Cross-amplitude
              • Cross-spectrum Analysis - Squared Coherency, Gain, and Phase Shift
              • Cross-spectrum Analysis - How the Example Data were Created
            • Fourier (Spectral) Analysis
              • Fourier (Spectral) Analysis - Quick Tab
              • Time Series Analysis - Autocorrelations Tab
              • Time Series Analysis - Review Series Tab
              • Fourier (Spectral) Analysis - Advanced Tab
                • Time Series Analysis - Selecting a Dependent Variable for Cross-spectrum
              • Single Series Fourier (Spectral) Analysis Results
                • Single Series Fourier (Spectral) Analysis Results - Quick Tab
                • Single Series Fourier (Spectral) Analysis Results - Review and Plot Tab
                • Single Series Fourier (Spectral) Analysis Results - Advanced Tab
                  • Time Series Analysis - Specify the Smoothing Weights
                • Bivariate Fourier (Cross Spectrum) Analysis Results
                  • Bivariate Fourier (Cross Spectrum) Analysis Results - Quick Tab
                  • Bivariate Fourier (Cross Spectrum) Analysis Results - Advanced Tab
                  • Bivariate Fourier (Cross Spectrum) Analysis Results - Periodogram & Density Plots Tab
                  • Bivariate Fourier (Cross Spectrum) Analysis Results - Append Tab
        • Time Series Analysis - Classical Seasonal Decomposition (Census Method 1)
          • Classical Seasonal Decomposition (Census Method 1) - General Introduction
            • Classical Seasonal Decomposition (Census Method 1) - Computations
          • Ratios-to-Moving Averages Classical Seasonal Decomposition (Census Method I)
            • Ratios-to-Moving Averages Classical Seasonal Decomposition (Census Method I) - Quick Tab
            • Ratios-to-Moving Averages Classical Seasonal Decomposition (Census Method I) - Advanced Tab
            • Single Series ARIMA Results - Autocorrelations Tab
            • Time Series Analysis - Review Series Tab
              • Select Variables for Plot/Spreadsheet
        • Time Series Analysis - X-11 Census Method II Seasonal Adjustment
          • X-11 Census Method II Seasonal Adjustment - Basic Ideas and Terms of Seasonal Adjustment
            • X-11 Census Method II Seasonal Adjustment - The Census II Method
            • X-11 Census Method II Seasonal Adjustment - Result Tables Computed by the X-11 Method
            • X-11 Census Method II Seasonal Adjustment - Specific Description of all Result Tables Computed by the X-11 Method
          • X-11/Y2k Monthly Seasonal Adjustment (Census Method II)
            • X-11/Y2k Monthly Seasonal Adjustment (Census Method II) - Quick Tab
            • X-11/Y2k Monthly Seasonal Adjustment (Census Method II) - Output Tab
            • X-11/Y2k Monthly Seasonal Adjustment (Census Method II) - Trading Day Regression Tab
            • X-11/Y2k Monthly Seasonal Adjustment (Census Method II) - Extremes Tab
            • X-11/Y2k Monthly Seasonal Adjustment (Census Method II) - Trend Cycle Tab
            • Time Series Analysis - Autocorrelations Tab
            • X-11/Y2k Monthly Seasonal Adjustment (Census Method II) - Advanced Tab
              • Time Series Analysis - Currently Available Variables and Transformations
            • X-11/Y2k Monthly Seasonal Adjustment (Census Method II) - Seasonal Factor Curves Tab
              • Time Series Analysis - Moving Averages for Seasonal Factor Curves
            • Time Series Analysis - Review Series Tab
              • Time Series Analysis - Select the X-11 Tables and Charts to be Displayed/Printed
              • Select Variables for Plot/Spreadsheet
          • X-11/Y2k Quarterly Seasonal Adjustment (Census Method II)
            • X-11/Y2k Quarterly Seasonal Adjustment (Census Method II) - Quick Tab
            • Time Series Analysis - Autocorrelations Tab
            • X-11/Y2k Quarterly Seasonal Adjustment (Census Method II) - Advanced Tab
              • Time Series Analysis - Select the X-11 Tables and Charts to be Displayed/Printed
            • Time Series Analysis - Review Series Tab
              • Select Variables for Plot/Spreadsheet
          • Output Tables and/or Charts - A-Prior Adjustment (Monthly Seasonal Adjustment)
            • Output Tables and/or Charts - B-Preliminary Estimation of Trading-Day Variation (Monthly X-11) and Weights
            • Output Tables and/or Charts - C-Final Estimation of Trading-Day Variation (Monthly X-11) and Irregular Weights
            • Output Tables and/or Charts - D-Final Estimation of Seasonal Factors, Trend-Cycle, Irregular, and Seasonally Adjusted Series
            • Output Tables and/or Charts - E-Modified Original, Seasonally Adjusted, and Irregular Series
            • Output Tables and/or Charts - F-Month (Quarter) for Cyclical Dominance (MCD, QCD), Moving Average, and Summary Measures
            • Output Tables and/or Charts - G-Charts
        • Time Series Analysis - Distributed Lags Analysis
          • Distributed Lags Analysis - General Purpose
            • Distributed Lags Analysis - General Model
            • Distributed Lags Analysis - Almon Distributed Lag
          • Distributed Lags Analysis
            • Distributed Lags Analysis - Quick Tab
            • Time Series Analysis - Autocorrelations Tab
            • Select Variables for Plot/Spreadsheet
              • Time Series Analysis - Review Series Tab
          • Transformations of Variables
            • Transformation of Variables - x=f(x) Tab
            • Transformations of Variables - Shift Tab
            • Transformations of Variables - Difference, Integrate Tab
            • Transformations of Variables - Descriptives Tab
            • Transformations of Variables - Smoothing Tab
              • Time Series Analysis - Specify the Moving Average Weights
              • Transformation of Variables - x=f(x,y) Tab
                • Time Series Analysis - Currently Available Variables and Transformations
              • Transformations of Variables - Fourier Tab
                • Time Series Analysis - Specify the Smoothing Weights
              • Transformations of Variables - Review and Plot Tab
                • Select Variables for Plot/Spreadsheet
              • Transformations of Variables - Autocorrelations Tab
                • Select Variables (Series) for the X and Y Axes
        • Example 1: Transformation of Variables
          • Example 2: Single Series ARIMA
          • Example 3: Interrupted ARIMA
          • Example 4: Seasonal and Non-seasonal Exponential Smoothing
          • Example 5: Seasonal Decomposition (Census Method I)
          • Example 6: X-11 Seasonal Decomposition (Census Method II)
          • Example 7: Distributed Lags Analysis
          • Example 8: Spectrum (Fourier) Analysis
        • Time Series Analysis - General Logic of Memory Management
          • Time Series Analysis - Active Work Area
          • Time Series Analysis - Autocorrelations
          • Time Series Analysis - Partial Autocorrelations
          • Time Series Analysis - Crosscorrelations
      • Structural Equation Modeling Overview
        • The Basic Idea Behind Structural Modeling
          • Structural Equation Modeling and the Path Diagram
          • Rules for SEPATH Path Diagrams
          • Resolving Ambiguities in Path Diagrams
          • Inputting Path Diagrams with the PATH1 Language
          • Structural Models for Two or More Groups
          • Analyzing Structured Means Models, and Models with an Intercept Variable
        • Structural Equation Modeling Startup Panel
          • Structural Equation Modeling Startup Panel - Quick Tab
          • Structural Equation Modeling Startup Panel - Advanced Tab
          • Analysis Parameters
          • Specify Grouping Variable
          • Specify Number of Groups
          • Path Construction Tool
            • Path Tool - Edit Latent Variable Names
            • Path Tool - Enter Comment
            • Analysis Parameters
          • SEPATH Wizard - Select Wizard
            • Confirmatory Factor Model Wizard - Latent Variables
            • Confirmatory Factor Model Wizard - Correlate Factors
            • Confirmatory Factor Model Wizard - Correlate Residuals
            • SEPATH Wizard - Model Placement
            • Structural Modeling Wizard - Endogenous Variables
            • Structural Modeling Wizard - Exogenous Variables
            • Structural Modeling Wizard - Correlate Factors
            • Structural Modeling Wizard - Correlate Residuals
            • Structural Modeling - Define Structural Equation Paths
            • SEPATH Wizard - Model Placement
          • Monte Carlo Analysis
            • Monte Carlo Analysis - Quick Tab
            • Monte Carlo Analysis - Advanced Tab
            • Set Contamination Parameters
            • Set Monte Carlo Sample Sizes
            • Skewnesses for Group
            • Kurtoses for Group
            • Monte Carlo Analysis - Model Tab
            • Analysis Parameters
        • Structural Equation Modeling Results
          • Structural Equation Modeling Results - Quick Tab
          • Structural Equation Modeling Results - Advanced Tab
          • Iteration Results
          • Structural Equation Modeling Results - Assumptions Tab
          • Structural Equation Modeling Results - Residuals Tab
          • Monte Carlo Results
            • Monte Carlo Results - Quick Tab
        • Introductory Example - Confirmatory Factor Analysis
          • Example 1: Stability of Alienation
          • Example 2: A Confirmatory Factor Analysis
          • Example 3: Confirmatory Factor Analysis with Identifying Constraints
          • Example 4: Effect of Peer Influence on Ambition
          • Example 5: Standardized Solutions for the Effect of Peer Influence on Ambition
          • Example 6: Factor Analysis with an Intercept Variable
          • Example 7: Comparing Factor Structure in Two Groups
          • Example 8: Testing for Circumplex Structure
          • Example 9: Testing for Stability of a Correlation Matrix over Time
          • Example 10: A Multiple Regression Model for Home Environment and Math Achievement
          • Example 11: Structural Models for Home Environment and Mathematics Achievement
          • Example 12: Test Theory Models for Sets of Congeneric Tests
          • Example 13: Comparing Dependent Variances
          • Example 14: A Multi-Trait, Multi-Method Model
          • Example 15: A Longitudinal Factor Model
          • Example 16: A Structural Model for 10 Personality and Drug Use Variables
          • Example 17: A Test for Compound Symmetry
          • Example 18: Testing the Equality of Correlation Matrices from Different Populations
          • Monte Carlo Example 1: Adequacy of Sample Size and Heywood Cases in Factor Analysis
          • Monte Carlo Example 2: Performance of GLS and ML Estimation in the Comparison of Correlation Matrices
          • Monte Carlo Example 3: Bootstrapping
        • Monte Carlo Results Spreadsheet
          • Population Structures for Monte Carlo Experiments
          • Measures of Multivariate Kurtosis Spreadsheet
          • Measures of Univariate Kurtosis Spreadsheet
          • Measures of Univariate Skewness Spreadsheet
          • Model Summary Spreadsheet
          • Noncentrality-Based, Goodness-of-Fit Indices
          • Statistics in the Structural Equation Modeling Results Summary Box
          • Confirmatory Factor Analysis Wizard
          • Structural Modeling Wizard
          • How to Use the Path Construction Tool
          • Single Sample Goodness of Fit Indices
          • Structural Equation Modeling - Covariance Matrices vs. Correlation Matrices
          • Solving Iteration Problems
            • Solving Iteration Problems - How Iteration Procedures Work
            • Solving Iteration Problems - When an Iteration Procedure "Hangs Up"
            • Solving Iteration Problems - An Example
          • Technical Aspects of SEPATH
            • Models and Methods
            • Models and Methods - The LISREL Model
            • Models and Methods - The COSAN Model
            • Models and Methods - McArdle's RAM Model
            • Models and Methods - The Bentler- Weeks Model
            • Models and Methods - The SEPATH Model
          • Statistical Estimation
            • Statistical Estimation - General Properties of Discrepancy Functions
            • Statistical Estimation - OLS Estimation
            • Statistical Estimation - GLS Estimation
            • Statistical Estimation - Maximum Wishart Likelihood Estimation
            • Statistical Estimation - Iteratively Reweighted GLS Estimation
            • Statistical Estimation - Chi-square Test Statistics
            • Statistical Estimation - ADF Estimation
          • Model Identification
          • Unconstrained Minimization Techniques
            • Unconstrained Minimization Techniques - Steepest Descent Iterations
            • Unconstrained Minimization Techniques - Line Search Options
            • Unconstrained Minimization Techniques - Boundary Constraints
            • Unconstrained Minimization Techniques - Convergence Criteria
          • Noncentrality-Based Indices of Fit
            • Noncentrality-Based Indices of Fit - General Theoretical Orientation
            • Noncentrality-Based Indices of Fit - Noncentrality-Based Parameter Estimates and Confidence Intervals
            • Noncentrality-Based Indices of Fit - Steiger-Lind RMSEA Index
            • Noncentrality-Based Indices of Fit - Population Gamma Index
            • Noncentrality-Based Indices of Fit - Adjusted Population Gamma Index
            • Noncentrality-Based Indices of Fit - McDonald's Index of Noncentrality
            • Noncentrality-Based Indices of Fit - Extensions to Multiple Group Analysis
          • Other Indices of Fit - Jöreskog-Sörbom GFI
            • Other Indices of Fit - Rescaled Akaike Information Criterion
            • Other Indices of Fit - Schwarz's Bayesian Criterion
            • Other Indices of Fit - Browne-Cudeck Single Sample Cross-Validation Index
            • Other Indices of Fit - Independence Model Chi-square and df
            • Other Indices of Fit - Bentler-Bonett Normed Fit Index
            • Other Indices of Fit - Bentler-Bonett Non-Normed Fit Index
            • Other Indices of Fit - Bentler Comparative Fit Index
            • Other Indices of Fit - James-Mulaik-Brett Parsimonious Fit Index
            • Other Indices of Fit - Bollen's Rho
            • Other Indices of Fit - Bollen's Delta
          • New Method for Standardizing Endogenous Latent Variables
          • Analyzing Correlation Matrices
          • Fully Standardized Path Models
          • Analyzing Invariance Properties
            • Analyzing Invariance Properties - Types of Invariance
            • Analyzing Invariance Properties - Analyzing Invariance of Fitted Covariance Structures
            • Analyzing Invariance Properties - Reflector Matrices
            • Analyzing Invariance Properties - Using Reflector Matrices
          • Multiple Sample Models
          • Models with Structured Means or Intercept Variables
          • Indices of Skewness
            • Indices of Skewness and Kurtosis - Indices of Univariate Skewness
            • Indices of Skewness and Kurtosis - Indices of Univariate Kurtosis
            • Indices of Skewness and Kurtosis - Indices of Multivariate Kurtosis
          • Monte Carlo Data Generation Techniques
    • Multivariate Exploratory Techniques
      • Cluster Analysis Overview
        • Statistical Significance Testing
          • Area of Application
          • Two-Way Joining
            • k-Means Clustering
            • Joining (Tree Clustering) - Introductory Overview
              • Hierarchical Tree
              • Distance Measures
              • Amalgamation or Linkage Rules
        • Clustering Method Startup Panel and Quick Tab
          • Joining (Tree Clustering) Dialog
          • Joining (Tree Clustering) - Advanced Tab
        • Cluster Analysis: K-Means Clustering
          • K-Means Clustering Quick Tab
          • K-Means Clustering Advanced Tab
        • Cluster Analysis Two-Way Joining Dialog
          • Cluster Analysis Two-Way Joining Quick Tab
          • Cluster Analysis Two-Way Joining Advanced Tab
        • K-Means Clustering Results Dialog
          • K-Means Clustering Results Quick Tab
          • K-Means Clustering Results Advanced Tab
        • Two-Way Joining Results Dialog
          • Two-Way Joining Results - Quick Tab
          • Two-Way Joining Results - Advanced Tab
        • Example 1: Joining - Tree Clustering
          • Example 2: K-means Clustering
      • Factor Analysis Overview
        • Factor Analysis - Hierarchical Factor Analysis
          • Basic Idea of Factor Analysis as a Data Reduction Method
          • Basic Idea of Factor Analysis as a Data Reduction Method - Combining Two Variables into a Single Factor
          • Basic Idea of Factor Analysis as a Data Reduction Method - Principal Components Analysis
          • Basic Idea of Factor Analysis as a Data Reduction Method - Extracting Principal Components
          • Basic Idea of Factor Analysis as a Data Reduction Method - Generalizing to the Case of Multiple Variables
          • Basic Idea of Factor Analysis as a Data Reduction Method - How many Factors to Extract?
          • Basic Idea of Factor Analysis as a Data Reduction Method - Reviewing the Results of a Principal Components Analysis
          • Factor Analysis as a Classification Method
          • Factor Analysis as a Classification Method - Factor Loadings
          • Factor Analysis as a Classification Method - Rotating the Factor Structure
          • Factor Analysis as a Classification Method - Interpreting the Factor Structure
          • Factor Analysis as a Classification Method - Oblique Factors
          • Factor Analysis as a Classification Method - Hierarchical Factor Analysis
          • Other Issues and Statistics - Factor Scores
          • Other Issues and Statistics - Reproduced and Residual Correlations
          • Other Issues and Statistics - Matrix Ill-conditioning
        • Factor Analysis Startup Panel and Quick Tab
          • Define Method of Factor Extraction
          • Define Method of Factor Extraction - Quick Tab
          • Define Method of Factor Extraction - Advanced Tab
          • Define Method of Factor Extraction - Descriptives Tab
        • Factor Analysis Results
          • Factor Analysis Results - Quick Tab
          • Factor Analysis Results - Explained Variance Tab
          • Factor Analysis Results - Scores Tab
          • Factor Analysis Results - Loadings Tab
            • Select the Factors for the Plot (2D Plot of Loadings)
            • Select the Factors for the Plot (3D Plot of Loadings)
          • Factor Analysis Results - Descriptives Tab
            • Review Descriptive Statistics
            • Review Descriptive Statistics - Quick Tab
            • Review Descriptive Statistics - Advanced Tab
            • Review Descriptive Statistics - Pairwise Tab
            • Review Descriptive Statistics - Save Tab
          • Multiple Regression Analysis
            • Multiple Regression Analysis - Quick Tab
            • Multiple Regression Analysis - Advanced Tab
            • Multiple Regression Analysis - Descriptives Tab
        • Example 1: Factor Analysis
        • Factor Analysis - Notes and Technical Information
          • Methods for Factor Analysis
          • A Note on Box and Whisker Plots
          • A Note on Matrix Ill-Conditioning and the Modified Correlation Matrix
          • Rotational Strategies in Factor Analysis
      • Principal Components and Classification Analysis Overview
        • Principal Components & Classification Analysis - General Purpose
          • Principal Components & Classification Analysis - Data Reduction (empty)
          • Principal Components and Classification Analysis
          • Principal Components and Classification Analysis - Computational Details
        • Principal Components and Classification Analysis Startup Panel
          • Principal Components and Classification Analysis Startup Panel - Quick Tab
          • Principal Components and Classification Analysis Startup Panel - Advanced Tab
        • Principal Components and Classification Analysis Results
          • Principal Components and Classification Analysis Results - Quick Tab
            • Select the Factors for the Plot (2D Plot of Loadings)
          • Principal Components and Classification Analysis Results - Variables Tab
          • Principal Components and Classification Analysis Results - Cases Tab
          • Principal Components and Classification Analysis Results - Descriptives Tab
        • Principal Components & Classification Analysis Example
      • Canonical Analysis Overview
        • General Ideas
          • Sum Scores
          • Canonical Roots/Variates
          • Number of Roots
          • Extraction of Roots
          • Computational Methods and Results
          • Assumptions
        • Canonical Analysis UI
          • Model Definition
          • Model Definitions - Quick Tab
          • Descriptives Tab
          • Review Descriptive Statistics
            • Review Descriptive Statistics - Quick Tab
            • Advanced Tab
            • Matrix Tab
        • Results
          • Canonical Analysis Results - Quick Tab
          • Canonical Factors Tab
          • Canonical Factor Structures Tab
            • Scatterplot of Canonical Correlations
          • Canonical Scores Tab
        • Example1: Canonical Correlation
        • Notes and Technical Information
      • Reliability and Item Analysis Overview
        • Reliability and Item Analysis Introductory Overview - General Introduction
          • Reliability and Item Analysis Introductory Overview - Basic Ideas
          • Reliability and Item Analysis Introductory Overview - Classical Testing Model
          • Reliability and Item Analysis Introductory Overview - Reliability
          • Reliability and Item Analysis Introductory Overview - Sum Scales
          • Reliability and Item Analysis Introductory Overview - Cronbach's Alpha
          • Reliability and Item Analysis Introductory Overview - Split-Half Reliability
          • Reliability and Item Analysis Introductory Overview - Correction for Attenuation
          • Reliability and Item Analysis Introductory Overview - Designing a Reliable Scale
          • Reliability and Item Analysis Introductory Overview - Final Remarks
        • Reliability and Item Analysis Startup Panel
          • Reliability and Item Analysis Startup Panel - Quick Tab
          • Reliability and Item Analysis Startup Panel - Advanced Tab
            • Correlation Matrices in Reliability and Item Analysis
        • Reliability Results
        • Review Descriptive Statistics
          • Review Descriptive Statistics - Quick Tab
          • Review Descriptive Statistics - Advanced Tab
          • Review Descriptive Statistics - Matrix Tab
        • Reliability Results
          • Split-Half Reliability - Advanced Tab
          • Reliability Results - Attenuation Tab
          • Reliability Results - More Items? Tab
          • Reliability Results - How Many? Tab
          • Reliability Results - Quick Tab
            • Split-Half Reliability
            • Split-Half Reliability - Quick Tab
            • Reliability Results - Advanced Tab
        • Example 1: Evaluating the Reliability of Items in a Questionnaire
          • Example 2: Split-Half Reliability
        • Reliability and Item Analysis - Notes and Technical Information
      • Classification Trees Overview
        • Characteristics of Classification Trees - Hierarchical Nature of Classification Trees
          • Characteristics of Classification Trees - Flexibility of Classification Trees
          • Characteristics of Classification Trees - The Power and Pitfalls of Classification Trees
          • Computational Methods - Specifying the Criteria for Predictive Accuracy
            • Computational Methods - Selecting Splits
            • Computational Methods - Determining When to Stop Splitting
            • Computational Methods - Selecting the "Right-Sized" Tree
            • Prior Probabilities, the Gini Measure of Node Impurity, and Misclassification Cost
            • Classification Trees Introductory Overview - Comparisons with Other Classification Tree Programs
        • Classification Trees - Parameter Estimation
          • Classification Trees Startup Panel
          • Classification Trees Startup Panel - Quick Tab
          • Classification Trees Startup Panel - Advanced Tab
          • Classification Trees Startup Panel - Stopping Options Tab
          • Classification Trees Startup Panel - Sampling Options Tab
          • Classification Trees Startup Panel - Methods Tab
            • Classification Trees - Enter Values for the Prior Probabilities
            • Classification Trees - User Specified Misclassification Costs
        • Classification Trees Results
          • Classification Trees Results - Quick Tab
          • Classification Trees Results - Cross-Validation Tab
          • Classification Trees Results - Predicted Classes Tab
          • Classification Trees Results - Tree Plot Tab
          • Classification Trees Results - Tree Structure Tab
          • Classification Trees - Global CV Parameter Estimation
          • Classification Trees - Global Cross-Validation Tab
        • Example 1: Discriminant-Based Univariate Splits for Categorical Predictors
          • Example 2: Discriminant-Based Univariate Splits for Categorical and Ordered Predictors
          • Example 3: Discriminant-Based Linear Combination Splits for Ordered Predictors
          • Example 4: Exhaustive Search for Univariate Splits for Ordered Predictors
        • Classification Trees - Notes on Computational Algorithms
      • Correspondence Analysis Overview
        • Correspondence Analysis - Program Overview
          • Correspondence Analysis - Supplementary Points
          • Multiple Correspondence Analysis (MCA)
          • Correspondence Analysis Introductory Overview - Burt Table
        • Correspondence Analysis (CA): Table Specifications / Multiple Correspondence Analysis (MCA): Table Specifications
          • Correspondence Analysis (CA): Table Specifications Startup Panel - Correspondence Analysis (CA) Tab
          • Multiple Correspondence Analysis (MCA): Table Specifications Startup Panel - Multiple Correspondence Analysis (MCA) Tab
            • Specify the Dimensions of the Table
          • Input Formats in Correspondence Analysis - Raw Data
            • Input Formats in Correspondence Analysis - Frequencies with Grouping Variables
            • Input Formats in Correspondence Analysis - Frequencies without Grouping Variables
        • Select the Dimensions to Plot - 1D Plot of Points
          • Select the Dimensions to Plot - 2D Plot of Points
          • Select the Dimensions to Plot - 3D Plot of Points
          • Correspondence Analysis Results
            • Correspondence Analysis Results - Quick Tab
              • Row and Column Coordinates in Correspondence Analysis
            • Correspondence Analysis Results - Advanced Tab
            • Correspondence Analysis Results - Options Tab
            • Correspondence Analysis Results - Review Tab
            • Correspondence Analysis Results - Supplementary Points Tab
              • Supplementary Row/Column Points
          • Multiple Correspondence Analysis Results
            • Multiple Correspondence Analysis Results - Advanced Tab
            • Multiple Correspondence Analysis Results - Options Tab
            • Multiple Correspondence Analysis Results - Review Tab
            • Multiple Correspondence Analysis Results - Quick Tab
              • Column Coordinates in Multiple Correspondence Analysis
        • Example 1: Correspondence Analysis and Supplementary Points
          • Example 2.1: Analyzing an Indicator Matrix (Consumer Preferences)
          • Example 2.2: Multiple Correspondence Analysis
          • Example 3: Protein Consumption in Europe
        • Correspondence Analysis - Computational Details
      • Multidimensional Scaling Overview
        • Multidimensional Scaling Introductory Overview - Logic of MDS
          • Multidimensional Scaling Introductory Overview - Computational Approach
          • Multidimensional Scaling Introductory Overview - How Many Dimensions to Specify?
          • Multidimensional Scaling Introductory Overview - Interpreting the Dimensions
          • Multidimensional Scaling Introductory Overview - Applications
          • Multidimensional Scaling Introductory Overview - MDS and Factor Analysis
        • Multidimensional Scaling Startup Panel
          • Multidimensional Scaling Startup Panel - Quick Tab
          • Multidimensional Scaling Startup Panel - Options Tab
        • MDS Results
          • MDS Results - Advanced Tab
          • MDS Results - Review and Save Tab
          • MDS Results - Quick Tab
            • Select Two Dimensions for Scatterplot
            • Select Three Dimensions for Scatterplot
        • Multidimensional Scaling - Example
        • MDS - Notes and Technical Information
          • Parameter Estimation
      • Discriminant Function Analysis Overview
        • Discriminant Function Analysis Introductory Overview - Computational Approach
          • Discriminant Function Analysis Introductory Overview - Stepwise Discriminant Analysis
          • Discriminant Function Analysis Introductory Overview - Interpreting a Two-Group Discriminant Function
          • Discriminant Function Analysis Introductory Overview - Discriminant Functions for Multiple Groups
          • Discriminant Function Analysis Introductory Overview - Assumptions
          • Discriminant Function Analysis Introductory Overview - Classification
        • Discriminant Function Analysis Startup Panel and Quick Tab
          • Model Definition
            • Model Definition - Quick Tab
            • Model Definition - Advanced Tab
            • Model Definition - Descriptives Tab
          • Review Descriptive Statistics
            • Review Descriptive Statistics - Quick Tab
            • Review Descriptive Statistics - Within Tab
            • Review Descriptive Statistics - All Cases Tab
        • Discriminant Function Analysis Results
          • Discriminant Function Analysis Results - Quick Tab
          • Discriminant Function Analysis Results - Advanced Tab
          • Discriminant Function Analysis Results - Classification Tab
            • Specify A Priori Classification Probabilities
          • Canonical Analysis
            • Canonical Analysis - Quick Tab
            • Canonical Analysis - Advanced Tab
            • Canonical Analysis - Canonical Scores Tab
              • Select Group for Histogram
        • Discriminant Function Analysis - Example
        • Discriminant Function Analysis Notes and Technical Information - General
          • Discriminant Function Analysis Notes and Technical Information - Formulas
          • Discriminant Function Analysis Notes and Technical Information - Testing Complex Hypotheses Using SEPATH
      • General Discriminant Analysis Models Overview
        • GDA Introductory Overview - Coding the Categorical Dependent Variable
          • GDA Introductory Overview - Advantages of GDA
          • GDA Introductory Overview - Comparison with Other Stepwise Discriminant Analysis Programs
          • GDA Introductory Overview - Unique Features
        • GDA - Methods for Specifying Designs
          • General Discriminant Analysis (GDA) Models Startup Panel
          • General Discriminant Analysis (GDA) Models Startup Panel and Quick Tab
          • GDA Syntax - Overview
            • General Discriminant Analysis (GDA) Models Syntax Editor
              • General Discriminant Analysis (GDA) Models Syntax Editor - Keywords Tab
              • General Discriminant Analysis (GDA) Models Syntax Editor - Specifications Tab
            • GDA Syntax - Keyword Dependent
              • GDA Syntax - Keyword Priors
              • GRM and GDA Syntax - Stepwise Regression
              • Best Subset Regression
              • GRM and GDA Syntax - Options for MBUILD
            • Alternative Method for Specifying GLM Designs in Macros (Automation)
          • GDA Models Wizard Effects in Design
            • GDA Models Wizard Effects in Design - Default Design Tab
            • GDA Models Wizard Effects in Design - Custom Design Tab
            • GDA Models Wizard Extended Options
            • GDA Models Wizard Extended Options - Quick Tab
            • GDA Models Wizard Extended Options - Advanced Tab
              • GDA - Select Apriori Classification Probabilities
              • Best Subset Discriminant Analysis Options in GDA
          • GDA Quick Specs
            • GDA Quick Specs - Quick Tab
            • GDA Effects in Design
            • GDA Quick Specs - Advanced Tab
              • GDA - Select Apriori Classification Probabilities
              • Stepwise Discriminant Analysis Options in GDA
              • Best Subset Discriminant Analysis Options in GDA
        • GDA Models Results
          • GDA Models Results - Quick Tab
          • GDA Models Results - Functions Tab
          • GDA Models Results - Cases Tab
          • GDA Models Results - Effects Tab
          • GDA Models Results - Profiler Tab
            • GDA - Response/Desirability Profiler
            • Options for Response Profiler
            • GDA - Classes for Residuals
          • GDA Models Results - Regression Residuals 1 Tab
            • GDA - Classes for Residuals
          • GDA Models Results - Regression Residuals 2 Tab
            • GDA - Classes for Residuals
          • GDA Models Results - Matrices Tab
          • GDA Models Results - Report Tab
        • General Discriminant Analysis (GDA) Models - Examples
          • GDA - Example 1: Stepwise Discriminant Analysis
          • GDA - Example 2: Best-Subset Discriminant Analysis
          • GDA Syntax - Examples
            • GDA Syntax - Example 1: Simple Standard Discriminant Analysis
            • GDA Syntax - Example 2: Stepwise Discriminant Analysis with Categorical Predictors
    • Industrial Statistics and Six Sigma
      • Quality Control Charts
        • Quality Control Charts Overview
          • The Architecture of the Quality Control Charts Module
          • Quality Control Introductory Overview- General Purpose
          • Quality Control Introductory Overview - General Approach
          • Quality Control Introductory Overview - Establishing Control Limits
          • Quality Control Introductory Overview - Common Types of Charts
          • Quality Control Introductory Overview - Short Run Charts
          • Quality Control Events
          • List of Chart Events
          • Quality Control Introductory Overview - Unequal Sample Sizes
          • Quality Control Introductory Overview - Control Charts for Variables vs. Charts for Attributes
          • Quality Control Introductory Overview - Control Chart for Individual Observations
          • Quality Control Introductory Overview - Out-of-Control Process: Runs Tests
          • Quality Control Introductory Overview - Operating Characteristic (OC) Curves
          • Quality Control Introductory Overview - Process Capability Indices
          • "Six Sigma" Methodology and Statistica
          • Measurements Related to Product Quality: Custom Alarm Handling and Custom SVB Scripts
        • Types of Quality Control Charts Analyses
          • Attributes Charts
            • Defining Variables for Attribute Charts
              • Defining Variables for Attribute Charts - Quick Tab
              • Defining Variables - Sets Tab
              • Defining Variables - Labels, Causes, Actions Tab
            • Defining Variables for (C) Attribute Charts
              • Defining Variables for C (Attribute) Chart - Quick Tab
              • Defining Variables - Sets Tab
              • Defining Variables - Labels, Causes, Actions Tab
            • Defining Sets, Specifications for Charts from Variables
              • Defining Sets, Specifications for Charts from Variables - X(X-Bar) tab
              • Defining Sets, Specifications for Charts from Variables - R (MR, S) Tab
            • Quality Control Charts - Reviewing Attribute Control Charts Results
              • Attribute Charts Results - Brushing Tab
              • Attribute Charts Results - Charts Tab
              • Attribute Charts Options - Stats Tab
              • Attribute Charts Results - Parts Tab
              • Attribute Charts Results - Specs Tab
            • Attribute Charts - Options
              • Attribute Charts Options - Layout Tab
              • Attribute Charts Options - Scaling Tab
          • Pareto Charts
            • Defining Variables for Pareto Charts
              • Defining Variables for Pareto Charts - Quick Tab
              • Defining Variables for Pareto Charts - Labels, Causes, Actions Tab
            • Reviewing Pareto Charts Results
              • Pareto Charts Results - Quick Tab
            • Pareto Charts Results - Options
              • Pareto Chart Options - Layout Tab
              • Pareto Chart Options - Shop Floor Tab
          • Variables Charts
            • Defining Variables for X-bar and Variability Chart
              • Defining Variables for X-bar and Variability Chart - Quick Tab
              • Defining Variables - Sets Tab
              • Defining Variables - Labels, Causes, Actions Tab
            • Defining Variables for X and Moving Range Chart and CUSUM Chart
              • Defining Variables for X and Moving Range Chart and CUSUM Chart - Quick Tab
              • Defining Variables - Sets Tab
              • Defining Variables - Labels, Causes, Actions Tab
            • Defining Variables for EWMA X-bar and R/S Charts
              • Defining Variables for MA X-bar and R/S Chart - Quick Tab
              • Defining Variables - Sets Tab
              • Defining Variables - Labels, Causes, Actions Tab
            • Defining Variables for EWMA X-bar and R/S Charts
              • Defining Variables for MA X-bar and R/S Chart - Quick Tab
              • Defining Variables - Sets Tab
              • Defining Variables - Labels, Causes, Actions Tab
            • Defining Sets, Specifications for Charts from Variables
              • Defining Sets, Specifications for Charts from Variables - X(X-Bar) tab
              • Defining Sets, Specifications for Charts from Variables - R (MR, S) Tab
            • Reviewing Variable Control Charts, Moving Average Charts, and X & Moving Range Charts Results
              • Results - R/S-specs Tab
              • Results - Brushing Tab
              • Results - Charts Tab
              • Results - Non-Normal Tab
              • Results - Parts Tab
              • Results - Report Tab
              • Results - Sets Tab
              • Results - X-Specs Tab
            • Results - Options
              • Options - Alarm Tab
              • Options - Labeling Tab
              • Options - Layout Tab
              • Options - Patterns Tab
              • Options - Scaling Tab
              • Options - Shop Floor Tab
              • Options - Stats Tab
        • Quality Control Charts Dialogs
          • Quality Control Charts Startup Panel
            • Quality Control Charts Startup Panel - Quick Tab
            • Quality Control Charts Startup Panel - Variables Tab
            • Quality Control Charts Startup Panel - Attributes Tab
            • Quality Control Charts Startup Panel - Real-Time Tab
          • Add Variables
          • Assigning a Cause, Action, or Comment
          • Brushing Commands
          • Brushing Commands
          • Causes, Actions, Comments, Data Brushing Setup
          • Chart Center Line
          • Control Limit Dialogs
          • Define Actions Resulting From
          • Edit Text Label
          • Locking Analysis for Shop Floor
          • Runs Tests for Control Chart
          • Sample
          • Select Specifications to be Saved
          • Select the Contents and Layout for the Six Graph Summary
          • Sigma for
          • Sigma Multiplier for Detecting Shift
          • Specifications for Capability Analysis
          • Specify Program (Command Line) and Optional Parameters
          • Specify Target Values
          • Specify Text Labels For
          • Specify Type of Moving Average
          • Warning Lines
          • Label (Name) for the New Set of Samples
            • Compute the Set from Ranges or Codes
            • Specify the Range of Samples for Computing the Set Statistics
            • Specify the Coding Variable and Code for the Computations
            • Apply the Set Statistics and Specifications to Ranges or . . .
            • Specify the Application Range for the Set
        • Quality Control Events
          • Example 1: A Simple Custom Chart Event Handler
          • Example 2: Custom Response to Specific Alarms
          • Example 3: Changing the Chart Specifications from Inside Event Handlers
          • Example 4: Computing Other Statistics or Graphs for Each Chart Update
          • List of Chart Events
          • Measurements Related to Product Quality: Custom Alarm Handling and Custom SVB Scripts
        • Quality Control Charts Examples
          • QC Charts Example 1: Specifying Control Charts for Variables, Process Capability
          • QC Charts Example 2: Brushing, Assigning Causes and Actions
          • QC Charts Example 3: Computing Chart Parameters for Different Sets
          • QC Charts Example 4: Setting Up Shop Floor Mode and Alarm Notification
          • QC Charts Example 5: Specifying Control Charts for Attributes, Custom Control Limits
          • QC Charts Example 6: Specifying Pareto Charts, Changing the Project Header, Printing Results
          • QC Charts Example 7: Specifying Moving Average/Moving Range charts
          • QC Charts Example 8: Specifying Charts for Individual Observations and Moving Ranges
          • QC Charts Example 9: Using IQC on the Shop Floor
          • QC Charts Example 10: Specifying Control Charts for Short Production Runs
          • QC Charts Example 11: Specifying CuSum Charts
        • Quality Control Charts Overview
          • The Architecture of the Quality Control Charts Module
          • The Nature of Sets
          • Auto-Updating of Statistics Displayed in Charts and Spreadsheets
          • Quality Control Charts - Computational Details
          • Evaluation of D2(N), D3(N), C4(N), and Related Statistics
          • Short Run Transformations
      • Process Analysis
        • Process Analysis Overview
          • Statistica Gage Linearity Overview
          • Process Analysis - Process (Machine) Capability Analysis - Introductory Overview
            • Process Analysis - Process (Machine) Capability Analysis - Computational Approach
            • Process Analysis - Process (Machine) Capability Analysis - Process Capability Indices
            • Process Analysis - Process (Machine) Capability Analysis - Process Performance vs. Process Capability
            • Process Analysis - Process (Machine) Capability Analysis - Using Experiments to Improve Process Capability
            • Process Analysis - Process (Machine) Capability Analysis - Testing the Normality Assumption
            • Process Analysis - Process (Machine) Capability Analysis - Tolerance Limits
            • Normal and General Non-Normal (Pearson and Johnson Fitting by Moments)
            • Process Analysis - Non-Normal Distributions
              • Non-Normal Distributions - Introductory Overview
              • Non-Normal Distributions - Beta Distribution
              • Non-Normal Distributions - Exponential Distribution
              • Non-Normal Distributions - Extreme Value Distribution
              • Non-Normal Distributions - Gamma Distribution
              • Non-Normal Distributions - Lognormal Distribution
              • Non-Normal Distributions - Rayleigh Distribution
              • Non-Normal Distributions - Weibull Distribution
              • Non-Normal Distributions - Fitting Distributions by Moments
              • Non-Normal Distributions - Assessing the Fit: Quantile and Probability Plots
              • Non-Normal Distributions - Non-Normal Process Capability Indices (Percentile Method)
          • Overview of Time-Dependent Distribution Models
            • The Models
            • Identifying Models
            • Tests of Normality
            • Computational Approaches for Process Capability
          • Capability Ratios for True Position - Introductory Overview
            • Capability Ratios for True Position - Computational Details
          • Process Analysis Gage Repeatability and Reproducibility - Introductory Overview
            • Process Analysis Gage Repeatability and Reproducibility - Computational Approach
            • Process Analysis Gage Repeatability and Reproducibility - Plots of Repeatability and Reproducibility
            • Process Analysis Gage Repeatability and Reproducibility - Components of Variance
            • Process Analysis Gage Repeatability and Reproducibility - Summary
          • Attribute Gage Study (Analytic Method) - Introductory Overview
            • Attribute Gage Study (Analytic Method) - Computational Details
          • Attribute Agreement Overview
          • MSA Attribute Data Overview
          • Capability Analysis - Binomial and Poisson - Computational Details
          • Weibull and Reliability/Failure Time Analysis - Introductory Overview
            • Weibull and Reliability/Failure Time Analysis - General Purpose
              • Weibull and Reliability/Failure Time Analysis - The Weibull Distribution
              • Weibull and Reliability/Failure Time Analysis - Censored Observations
              • Weibull and Reliability/Failure Time Analysis - Two- and three-parameter Weibull distribution
              • Weibull and Reliability/Failure Time Analysis - Parameter Estimation
              • Weibull and Reliability/Failure Time Analysis - Goodness-of-Fit Indices
              • Weibull and Reliability/Failure Time Analysis - Interpreting Results
              • Weibull and Reliability/Failure Time Analysis - Grouped Data
            • Process Analysis Sampling Plans - General Purpose
              • Process Analysis Sampling Plans - Computational Approach
              • Process Analysis Sampling Plans - Means for H0 and H1
              • Process Analysis Sampling Plans - Alpha and Beta Error Probabilities
              • Process Analysis Sampling Plans - Fixed Sampling Plans
              • Process Analysis Sampling Plans - Sequential Sampling Plans
              • Process Analysis Sampling Plans - Summary
              • Process Analysis - Cause-and-Effect Diagrams
              • How to Specify the Data for the Cause-and-Effect Diagram
        • Process Analysis Procedures Startup Panel and Quick Tab
          • Process Capability Analysis Setup--Raw Data
            • Process Capability Analysis Setup--Raw Data - Raw Data Tab
              • Enter/Edit Specification Limits
            • Process Capability Analysis Setup--Raw Data - Grouping Tab
            • Process Capability Analysis Setup--Raw Data - Distribution Tab
          • Process Capability Analysis Setup--Aggregated Data
            • Process Capability Analysis Setup--Aggregated Data - Advanced Tab
            • Process Capability Analysis Setup--Aggregated Data - Quick Tab
            • Enter/Edit Specification Limits
          • ISO 21747 / DIN 55319 Process Capability Setup
            • ISO 21747 / DIN 55319 Process Capability Setup Dialog and Quick Tab
            • ISO 21747 / DIN 55319 - Process Capability Setup - Grouping Tab
            • ISO 21747 / DIN 55319 - Process Capability Setup - Distributions Tab
            • ISO 21747 / DIN 55319 - Process Capability Setup - Outliers & Tests Tab
            • ISO 21747 / DIN 55319 - Process Capability Setup - Normality Tab
            • ISO 21747 / DIN 55319 - Process Capability Setup - Method Option Tab / Results - Method Option Tab
            • ISO 21747 - Process Capability Setup - Options M1 (l,d) Tab / DIN 55319 - Process Capability Setup - Options M3, M4 Tab
            • ISO 21747 Process Capability Setup - Options M2, M3 Tab / DIN 55319 Process Capability Setup - Options M5, M6 Tab
          • Capability Ratios for True Position
            • Capability Ratios for True Position - Specification Tab
          • Repeatability & Reproducibility Analysis
            • Repeatability & Reproducibility Analysis - Generate Design Tab
            • Repeatability & Reproducibility Analysis - Analyze Data File Tab
            • Repeatability & Reproducibility Analysis - Analyze R & R Data Sheet Tab
          • Gage Capability
            • Gage Capability - Generate Design Tab
            • Gage Capability - Analyze Data File Tab
            • Gage Capability - Options Tab
          • Gage Linearity
          • Attribute Gage Study (Analytic Method) - Attribute Gage Study Tab
            • Attribute Agreement Analysis - Advanced Tab
          • MSA Attribute Data
            • MSA Attribute Data - MSA Attribute Data Tab
            • MSA Attribute Data - Acceptance Options Tab
          • Capability Analysis (Binomial)
            • Capability Analysis (Binomial) - Quick Tab
            • Capability Analysis (Binomial) - Runs Tests Tab
          • Capability Analysis (Poisson Distribution)
            • Capability Analysis (Poisson) - Quick Tab
            • Capability Analysis (Poisson Distribution) - Runs Tests Tab
          • Weibull & Reliability/Failure Time Analysis
            • Weibull & Reliability/Failure Time Analysis - Raw Data Tab
            • Weibull & Reliability/Failure Time Analysis - Grouped Data Tab
          • Weibull Probability Paper
            • Weibull Probability Paper - Variables (Optional) Tab
          • Sampling Plans
            • Sampling Plans - Quick Tab
            • Sampling Plans - Advanced Tab
          • Cause-and-Effect (Ishikawa) Diagrams
            • Cause-and-Effect (Ishikawa) Diagrams - Quick Tab
            • Cause-and-Effect (Ishikawa) Diagrams - Arrows Tab
            • Cause-and-Effect (Ishikawa) Diagrams - Font Sizes Tab
        • Reviewing Process Analysis Results
          • Process Capability Analysis
            • Process Capability Analysis--Normal and General Non-Normal Distribution (Raw Data)
              • Process Capability Analysis--Normal and General Non-Normal Distribution (Raw Data) - Quick Tab
              • Process Capability Analysis--Normal and General Non-Normal Distribution (Raw Data) - Specs Tab
              • Process Capability Analysis--Normal and General Non-Normal Distribution (Raw Data) - Advanced, Normal Tab
              • Process Capability Analysis--Normal and General Non-Normal Distribution (Raw Data) - Advanced, Non-Normal Tab
              • Process Capability Analysis Normal and General Non-Normal Distribution (Raw Data) Tolerance Limits Tab
              • Process Capability Analysis--Normal and General Non-Normal Distribution (Raw Data) - Options Tab
            • Process Capability Analysis Normal and General Non-Normal Distribution (Aggregated Data)
              • Process Capability Analysis Normal and General Non-Normal Distribution (Aggregated Data) - Quick Tab
            • Process Capability Analysis Distribution (Raw Data)
              • Process Capability Analysis Distribution (Raw Data) - Quick Tab
              • Process Capability Analysis Distribution (Raw Data) - Specifications Tab
              • Process Capability Analysis Distribution (Raw Data) - Advanced Tab
              • Process Capability Analysis Distribution (Raw Data) - Options Tab
          • ISO 21747 / DIN 55319 - Process Capability Results
            • ISO 21747 / DIN 55319 Process Capability Results - Quick Tab
            • ISO 21747 / DIN 55319 Process Capability Results - Specs Tab
            • ISO 21747 / DIN 55319 - Process Capability Setup - Method Option Tab / Results - Method Option Tab
            • ISO 21747 - Process Capability Setup - Options M1 (l,d) Tab / DIN 55319 - Process Capability Setup - Options M3, M4 Tab
            • ISO 21747 Process Capability Setup - Options M2, M3 Tab / DIN 55319 Process Capability Setup - Options M5, M6 Tab
          • Capability Ratios for True Position Results
            • Capability Ratios for True Position Results Dialog - Results Tab
          • Gage R and R
            • Repeatability & Reproducibility Design
              • Repeatability & Reproducibility Design - Data Files Tab
              • Repeatability & Reproducibility Design - R & R Data Sheets Tab
            • Gage Repeatability & Reproducibility Results
              • Gage Repeatability & Reproducibility Results - Quick Tab
              • Gage Repeatability & Reproducibility Results - Advanced Tab
              • Gage Repeatability & Reproducibility Results - Descriptives/Plots Tab
              • Gage Repeatability & Reproducibility Results - Gage Performance Tab
              • Gage Repeatability & Reproducibility Results - Options Tab
          • Gage Capability
            • Gage Capability Design Results - Data Files Tab
            • Gage Capability Results
              • Gage Capability Results - Quick Tab
              • Gage Capability Results - Descriptives/Plots Tab
              • Gage Capability Results - Specs Tab
              • Gage Capability Results - Options Tab
          • Gage Linearity Results
          • Attribute Gage Study Results
          • Attribute Agreement Results
            • Attribute Agreement Results - Quick Tab
            • Attribute Agreement Results - Advanced Tab
          • Attribute Data MSA Results Dialog Box and Quick Tab
          • Capability Analysis (Binomial) Results
            • Capability Analysis (Binomial) Results - Quick Tab
            • Capability Analysis (Binomial) Results - Advanced Tab
          • Capability Analysis (Poisson Distribution) Results
            • Capability Analysis (Poisson Distribution) Results - Quick Tab
            • Capability Analysis (Poisson Distribution) Results - Advanced Tab
          • Weibull Analysis
            • Weibull Analysis: Results (Raw Data)
              • Weibull Analysis: Results (Raw Data) - Quick Tab
              • Weibull Analysis: Results (Raw Data) - Advanced Tab
              • Weibull Analysis: Results (Raw Data) - Reliability & Distribution Function Tab
                • Weibull & Reliability Analysis - Failure Order for Single or Uncensored Data
                • Weibull & Reliability Analysis - Modified Failure Order for Multiple-Censored Data
              • Weibull Analysis: Results (Grouped Data)
                • Weibull Analysis: Results (Grouped Data) - Quick Tab
                • Weibull Analysis: Results (Grouped Data) - Estimate Tab
                • Weibull Analysis: Results (Grouped Data) - Reliability Tab
          • Weibull Probability Paper
            • Weibull Probability Paper - Quick Tab
            • Weibull Probability Paper - Advanced Tab
          • Sampling Plans Results
            • Sampling Plans Results - Sequential Sampling Plan Tab
            • Sampling Plans Results - Fixed Sampling Plan Tab
              • Specify Sample Size
        • Introduction to Process Analysis Examples
          • Example 1: Deriving and Examining a Sampling Plan
          • Example 2: Process Capability Analysis
          • Example 3: Gage Repeatability and Reproducibility
          • Example 4: Weibull and Reliability/Failure Time Analysis
          • Example 5: Gage Linearity and Bias Study
          • Example 6: Attribute Agreement Analysis
          • Example 7: Capability Ratios for True Position
          • Example 8: MSA Attribute Data
          • Example 9: Attribute Gage Study (Analytic Method)
          • Example 10: Capability Analysis (Binomial)
          • Example 11: Unstacking Data in Attribute Agreement Analysis
        • Repeatability and Reproducibility - Components of Variance, Percent of Tolerance, and Total Variation
          • Statistica Gage Linearity Technical Notes
        • Process Analysis - General Algorithms and Formulas
          • Non-Normal Distribution Fitting - Notes and Technical Information
          • Z Benchmark Potential
        • Weibull and Reliability/Failure Time Analysis - Notes and Technical Information
          • Weibull and Reliability Analysis - Weibull CDF, Reliability, and Hazard Functions
      • Experimental Design
        • Experimental Design Overview
          • Experimental Design - General Ideas
          • Experimental Design - Experiments in Science and Industry
          • Bayesian Reliability Optimization for Continuous/Binary Response Overview
          • Experimental Design - Computational Problems
          • Experimental Design - Components of Variance, Denominator Synthesis
          • Experimental Design - Summary
        • Design & Analysis of Experiments Startup Panel
          • Design & Analysis of Experiments Startup Panel - Quick Tab
          • Design & Analysis of Experiments Startup Panel - Advanced Tab
        • Design & Analysis of Experiments with Two-Level Factors
          • Design & Analysis of  Experiments with Two-Level Factors - Design Experiment Tab
          • Design & Analysis of Experiments with Two-Level Factors - Analyze Design Tab
        • Design of an Experiment with Two-Level Factors
          • Design of a 2 and/or 3-level Screening Experiment - Quick Tab
          • Design of a 2 and/or 3-level Screening Experiment - Display Design Tab
          • Design of an Experiment with Two-Level Factors - Add To Design Tab
          • Design of an Experiment with Two-Level Factors - Generator and Aliases Tab
        • Analysis of an Experiment with Two-Level Factors
          • Analysis of an Experiment with Two-Level Factors - Design Tab
          • Analysis of an Experiment with Two-Level Factors - ANOVA/Effects Tab
          • Analysis of an Experiment with Two-Level Factors - Review/Save Residuals Tab
          • Analysis of an Experiment with Two-Level Factors - Residual Plots Tab
          • Analysis of an Experiment with Two-Level Factors - Box-Cox Tab
          • Analysis of an Experiment with Two-Level Factors - Quick Tab
            • Factors for Cube Plot
            • Factors for Square Plot
            • Compute Marginal Means for
              • Specify the Arrangement of the Factors in the Plot
          • Analysis of an Experiment with Two-Level Factors - Model Tab
            • Customized (Pooled) Error Term
          • Analysis of an Experiment with Two-Level Factors - Means Tab
            • Compute Marginal Means for
            • Factors for Cube Plot
            • Factors for Square Plot
            • Experimental Design - Profiler
              • Profiler - Save/Open Tab
              • Profiler - Options Tab
              • Profiler - Quick Tab
                • Profiler - Select Factor Values
                • Profiler - Specifications for Factor Grid
          • Analysis of an Experiment with Two-Level Factors - Prediction and Profiling Tab
            • Select Factor Values (When Creating Surface or Contour Plots).
            • Select Factor Values (When Predicting Dependent Variable Values)
            • Experimental Design - Profiler
              • Profiler - Save/Open Tab
              • Profiler - Options Tab
              • Profiler - Quick Tab
                • Profiler - Select Factor Values
                • Profiler - Specifications for Factor Grid
        • Marginal Means for Experiments with Two-Level Factors
          • Main Effects and Interactions for Experiments with Two-Level Factors
        • 2-level Screening Designs
          • Design & Analysis of Screening Experiments
            • Design & Analysis of Mixture Experiments - Design Experiment Tab
            • Design & Analysis of Screening Experiments - Analyze Design Tab
          • Design of a Screening (Plackett-Burman) Experiment
            • Design of a Screening (Plackett-Burman) Experiment - Quick Tab
            • Design of a Screening (Plackett-Burman) Experiment - Display Design Tab
            • Design of a Screening (Plackett-Burman) Experiment - Add to Design Tab
            • Design of a Screening (Plackett-Burman) Experiment - Generators and Aliases Tab
          • Analysis of a Screening Experiment with Two-Level Factors
            • Analysis of a Screening Experiment with Two-Level Factors - Design Tab
            • Analysis of a Screening Experiment with Two-Level Factors - ANOVA/Effects Tab
            • Analysis of a Screening Experiment with Two-Level Factors - Review/Save Residuals Tab
            • Analysis of a Screening Experiment with Two-Level Factors - Residual Plots Tab
            • Analysis of a Screening Experiment with Two-Level Factors - Box-Cox Tab
            • Analysis of a Screening Experiment with Two-Level Factors - Quick Tab
              • Factors for Cube Plot
              • Factors for Square Plot
              • Compute Marginal Means for
                • Specify the Arrangement of the Factors in the Plot
            • Analysis of a Screening Experiment with Two-Level Factors - Model Tab
              • Customized (Pooled) Error Term
            • Analysis of a Screening Experiment with Two-Level Factors - Means Tab
              • Factors for Cube Plot
              • Factors for Square Plot
              • Compute Marginal Means for
                • Specify the Arrangement of the Factors in the Plot
              • Experimental Design - Profiler
                • Profiler - Save/Open Tab
                • Profiler - Options Tab
                • Profiler - Quick Tab
                  • Profiler - Select Factor Values
                  • Profiler - Specifications for Factor Grid
            • Analysis of a Screening Experiment with Two-Level Factors - Prediction and Profiling Tab
              • Select Factor Values (When Predicting Dependent Variable Values)
              • Select Factor Values (When Creating Surface or Contour Plots).
              • Experimental Design - Profiler
                • Profiler - Save/Open Tab
                • Profiler - Options Tab
                • Profiler - Quick Tab
                  • Profiler - Select Factor Values
                  • Profiler - Specifications for Factor Grid
          • Marginal Means for Screening (Plackett-Burman) Experiments
            • Main Effects and Interactions for Screening (Plackett-Burman) Experiments
        • 2(k-p) Maximally Unconfounded and Minimum Aberration Designs
          • Searching for and Analyzing Designs with Two-Level Factors
            • Searching for and Analyzing Designs with Two-Level Factors - Search For Design Tab
            • Searching for and Analyzing Designs with Two-Level Factors - Search Strategy Tab
            • Searching for and Analyzing Designs with Two-Level Factors - Analyze Design Tab
            • Searching for and Analyzing Designs with Two-Level Factors - Search Criterion Tab
              • Experimental Design - Unconfounded Effects
          • Searching for Designs
          • Design of an Experiment with Two-Level Factors
            • Design of a 2 and/or 3-level Screening Experiment - Quick Tab
            • Design of a 2 and/or 3-level Screening Experiment - Display Design Tab
            • Design of an Experiment with Two-Level Factors - Add To Design Tab
            • Design of an Experiment with Two-Level Factors - Generator and Aliases Tab
          • Analysis of an Experiment with Two-Level Factors
            • Analysis of an Experiment with Two-Level Factors - Design Tab
            • Analysis of an Experiment with Two-Level Factors - ANOVA/Effects Tab
            • Analysis of an Experiment with Two-Level Factors - Review/Save Residuals Tab
            • Analysis of an Experiment with Two-Level Factors - Residual Plots Tab
            • Analysis of an Experiment with Two-Level Factors - Box-Cox Tab
            • Analysis of an Experiment with Two-Level Factors - Quick Tab
              • Factors for Cube Plot
              • Factors for Square Plot
              • Compute Marginal Means for
                • Specify the Arrangement of the Factors in the Plot
            • Analysis of an Experiment with Two-Level Factors - Model Tab
              • Customized (Pooled) Error Term
            • Analysis of an Experiment with Two-Level Factors - Means Tab
              • Compute Marginal Means for
              • Factors for Cube Plot
              • Factors for Square Plot
              • Experimental Design - Profiler
                • Profiler - Save/Open Tab
                • Profiler - Options Tab
                • Profiler - Quick Tab
                  • Profiler - Select Factor Values
                  • Profiler - Specifications for Factor Grid
            • Analysis of an Experiment with Two-Level Factors - Prediction and Profiling Tab
              • Select Factor Values (When Creating Surface or Contour Plots).
              • Select Factor Values (When Predicting Dependent Variable Values)
              • Experimental Design - Profiler
                • Profiler - Save/Open Tab
                • Profiler - Options Tab
                • Profiler - Quick Tab
                  • Profiler - Select Factor Values
                  • Profiler - Specifications for Factor Grid
        • 3**(k-p) and Box-Behnken Designs
          • Design & Analysis of Experiments with Three-Level Factors
            • Design & Analysis of Experiments with Three-Level Factors - Design Experiment Tab
            • Design & Analysis of Experiments with Three-Level Factors - Analyze Design Tab
          • Design of an Experiment with Three-Level Factors
            • Design of a 2 and/or 3-level Screening Experiment - Quick Tab
            • Design of an Experiment with Three-Level Factors - Display Design Tab
            • Design of an Experiment with Three-Level Factors - Add to Design Tab
            • Design of an Experiment with Three-Level Factors - Generator & Aliases Tab
          • Analysis of an Experiment with Three-Level Factors
            • Analysis of an Experiment with Three-Level Factors - Design Tab
            • Analysis of an Experiment with Three-Level Factors - ANOVA/Effects Tab
            • Analysis of an Experiment with Three-Level Factors - Review/Save Residuals Tab
            • Analysis of an Experiment with Three-Level Factors - Residual Plots Tab
            • Analysis of an Experiment with Three-Level Factors - Box-Cox Tab
            • Analysis of an Experiment with Three-Level Factors - Quick Tab
              • Compute Marginal Means for
              • Specify the Arrangement of the Factors in the Plot
            • Analysis of an Experiment with Three-Level Factors - Model Tab
              • Customized (Pooled) Error Term
            • Analysis of an Experiment with Three-Level Factors - Means Tab
              • Compute Marginal Means for
                • Specify the Arrangement of the Factors in the Plot
              • Experimental Design - Profiler
                • Profiler - Save/Open Tab
                • Profiler - Options Tab
                • Profiler - Quick Tab
                  • Profiler - Select Factor Values
                  • Profiler - Specifications for Factor Grid
            • Analysis of an Experiment with Three-Level Factors - Prediction & Profiling Tab
              • Select Factors for 3D Plot
              • Select Factor Values (When Predicting Dependent Variable Values)
              • Select Factor Values (When Creating Surface or Contour Plots).
              • Experimental Design - Profiler
                • Profiler - Save/Open Tab
                • Profiler - Options Tab
                • Profiler - Quick Tab
                  • Profiler - Select Factor Values
                  • Profiler - Specifications for Factor Grid
          • Marginal Means in Experiments with Three-Level Factors
            • Experimental Design - Critical Values for Experiments with Three-Level Factors
            • Main Effects and Interactions for Experiments with Three-Level Factors
            • ANOVA Tables for Experiments with Three-Level Factors
        • Bayesian Reliability Optimization for Continuous/Binary Response Overview
          • Bayesian Reliability Optimization for Continuous Response Node
        • Central Composite, Non-Factorial, Surface Designs
          • Design & Analysis of Central Composite (Response Surface) Experiments
            • Design & Analysis of Central Composite (Response Surface) Experiments - Design Experiment Tab
            • Design & Analysis of Central Composite (Response Surface) Experiments - Analyze Design Tab
              • Factor Levels for Recoding Factor Values
          • Design of a Central Composite (Response Surface) Experiment
            • Design of a Central Composite (Response Surface) Experiment - Quick Tab
            • Design of a Central Composite (Response Surface) Experiment - Display Design Tab
            • Design of a Central Composite (Response Surface) Experiment - Add to Design Tab
            •  Design of a Central Composite (Response Surface) Experiment - Design Characteristics Tab
            • Design of a Central Composite (Response Surface) Experiment - Generators & Aliases Tab
          • Analysis of a Central Composite (Response Surface) Experiment
            • Analysis of a Central Composite (Response Surface) Experiment - Quick Tab
            • Analysis of a Central Composite (Response Surface) Experiment - ANOVA/Effects Tab
            • Analysis of a Central Composite (Response Surface) Experiment - Review/Save Residuals Tab
            • Analysis of a Central Composite (Response Surface) Experiment - Residual Plots Tab
            • Analysis of a Central Composite (Response Surface) Experiment - Box-Cox Tab
            • Analysis of a Central Composite (Response Surface) Experiment - Model Tab
              • Customized (Pooled) Error Term
            • Analysis of a Central Composite (Response Surface) Experiment - Design Tab
              • Factor Levels for Recoding Factor Values
            • Analysis of a Central Composite (Response Surface) Experiment - Means Tab
              • Experimental Design - Profiler
              • Profiler - Save/Open Tab
              • Profiler - Options Tab
              • Profiler - Quick Tab
                • Profiler - Select Factor Values
                • Profiler - Specifications for Factor Grid
            • Analysis of a Central Composite (Response Surface) Experiment - Prediction & Profiling Tab
              • Select Factor Values (When Predicting Dependent Variable Values)
              • Select Factor Values (When Creating Surface or Contour Plots).
              • Experimental Design - Profiler
                • Profiler - Save/Open Tab
                • Profiler - Options Tab
                • Profiler - Quick Tab
                  • Profiler - Select Factor Values
                  • Profiler - Specifications for Factor Grid
          • Experimental Design - Critical Values for Central Composite Designs
            • Main Effects and Interactions for Central Composite Experiments
        • Constructing D- and A-Optimal Designs
          • D- and A-Optimal Designs
            • D- and A-Optimal Designs - Model Tab
            • D- and A-Optimal Designs - Optimization Methods Tab
            • D- and A-Optimal Designs - Options Tab
            • D- and A-Optimal Designs - Candidate Points Tab
              • List of Candidate Points for Optimal Design
          • Optimal Design Result: Mixture (No Intercept)
            • Optimal Design Result: Mixture (No Intercept) - Display design Tab
            • Optimal Design Result: Mixture (No Intercept) - Add to Design Tab
            • Optimal Design Result: Mixture (No Intercept) - Quick Tab
              • Select Factors for 2D Scatterplot
              • Select Factors for 3D Scatterplot
            • Optimal Design Result: Mixture (No Intercept) - Confounding Tab
          • Optimal Design Result: Response Surface
            • Optimal Design Result: Response Surface - Display Design Tab
            • Optimal Design Result: Response Surface - Add to Design Tab
            • Optimal Design Result: Response Surface - Quick Tab
            • Optimal Design Result: Response Surface - Confounding Tab
          • Efficiency Measures for D- and A- Optimal Designs
        • D-Optimal Split Designs Overview
          • Optimal Split Plot Overview
          • Optimal Split Plot Design
            • Optimal Split Plot Design - Quick Tab
            • Optimal Split Plot Design - Advanced Tab
            • Optimal Split Plot Design - Model Tab
          • Optimal Split Plot Design Results
            • Optimal Split Plot Design Results - Display Design Tab
            • Optimal Split Plot Design Results - Add to Design Tab
            • Optimal Split Plot Design Results - Design Details Tab
        • Designs for Constrained Surfaces and Mixtures
          • Design Points (Vertices & Centroids) for Constrained Surfaces and Mixtures
            • Design Points (Vertices & Centroids) for Constrained Surfaces and Mixtures - Options Tab
            • Design Points (Vertices & Centroids) for Constrained Surfaces and Mixtures - Quick Tab
              • Initial High/Low Constraints for Factors
              • Enter the Parameters of the General Linear Constraint
          • Constrained Mixture Design Results
            • Constrained Mixture Design Results - Display Design Tab
            • Constrained Mixture Design Results - Add to Design Tab
            • Constrained Mixture Design Results - Confounding Tab
            • Constrained Mixture Design Results - Quick Tab
              • Select Factors for 3D Scatterplot
            • Constrained Mixture Design Results - Review Constraints Tab
          • Constrained Surface Design Results
            • Constrained Surface Design Results - Display Design Tab
            • Constrained Surface Design Results - Add to Design Tab
            • Constrained Surface Design Results - Confounding Tab
            • Constrained Surface Design Results - Quick Tab
              • Select Factors for 3D Scatterplot
            • Constrained Surface Design Results - Review Constraints Tab
        • Experimental Design Builder and Quick Tab
          • Experimental Design Builder - Design Options Tab
          • Experimental Design Builder Results and Quick Tab
          • Experimental Design Builder Results - Display Design Tab
          • Experimental Design Builder Results - Add to Design Tab
          • Experimental Design Builder Results - Design Summary Tab
          • Experimental Design Builder Results - Prediction Variance Tab
        • Latin Square Designs
          • Design & Analysis of Latin Square Experiments
            • Design & Analysis of Latin Square Experiments - Analyze Design Tab
            • Design & Analysis of Latin Square Experiments - Design Experiment Tab
              • Latin Squares - Select 1 Latin Square
              • Latin Squares - Select 2 Latin Squares
              • Latin Squares - Select 3 Latin Squares
          • Design of a Latin Square Experiment
            • Design of a Latin Square Experiment - Quick Tab
            • Design of a Latin Square Experiment - Display Design Tab
            • Design of a Latin Square Experiment - Add to Design Tab
          • Analysis of a Latin Square Experiment
            • Analysis of a Latin Square Experiment - Quick Tab
            • Analysis of a Latin Square Experiment - Design Tab
            • Analysis of a Latin Square Experiment - ANOVA Tab
            • Analysis of a Latin Square Experiment - Means Tab
        • Mixed 2 and 3 Level Designs
          • Design & Analysis of Experiments with Two- and Three-Level Factors
            • Design & Analysis of Experiments with Two- and Three-Level Factors - Design Experiment Tab
            • Design & Analysis of Experiments with Two- and Three-Level Factors - Analyze Design Tab
          • Design of an Experiment with Two- and Three-Level Factors
            • Design of an Experiment with Two- and Three-Level Factors - Quick Tab
            • Design of a 2 and/or 3-level Screening Experiment - Display Design Tab
            • Design of an Experiment with Two- and Three-Level Factors - Add to Design Tab
            • Design of an Experiment with Two- and Three-Level Factors - Generators and Aliases Tab
          • Analysis of an Experiment with Two- and Three-Level Factors
            • Analysis of an Experiment with Two- and Three-Level Factors - Design Tab
            • Analysis of an Experiment with Two- and Three-Level Factors - ANOVA/Effects Tab
            • Analysis of an Experiment with Two- and Three-Level Factors - Review/Save Residuals Tab
            • Analysis of an Experiment with Two- and Three-Level Factors - Residual Plots Tab
            • Analysis of an Experiment with Two- and Three-Level Factors - Box-Cox Tab
            • Analysis of an Experiment with Two- and Three-Level Factors - Quick Tab
              • Compute Marginal Means for
              • Specify the Arrangement of the Factors in the Plot
            • Analysis of an Experiment with Two- and Three-Level Factors - Model Tab
              • Customized (Pooled) Error Term
            • Analysis of an Experiment with Two- and Three-Level Factors - Means Tab
              • Compute Marginal Means for
              • Specify the Arrangement of the Factors in the Plot
              • Experimental Design - Profiler
                • Profiler - Save/Open Tab
                • Profiler - Options Tab
                • Profiler - Quick Tab
                  • Profiler - Select Factor Values
                  • Profiler - Specifications for Factor Grid
            • Analysis of an Experiment with Two- and Three-Level Factors - Prediction and Profiling Tab
              • Select Factors for 3D Plot
              • Select Factor Values (When Predicting Dependent Variable Values)
              • Select Factor Values (When Creating Surface or Contour Plots).
              • Experimental Design - Profiler
                • Profiler - Save/Open Tab
                • Profiler - Options Tab
                • Profiler - Quick Tab
                  • Profiler - Select Factor Values
                  • Profiler - Specifications for Factor Grid
          • Main Effects and Interactions for Experiments with Two- and Three-Level Factors
            • ANOVA Tables for Experiments with Two- and Three-Level Factors
            • Experimental Design - Critical Values for Experiments with Two- and Three-Level Factors
            • Marginal Means in Experiments with Two- and Three-Level Factors
        • Mixture Designs and Triangular Surfaces
          • Design & Analysis of Mixture Experiments
            • Design & Analysis of Mixture Experiments - Design Experiment Tab
            • Design & Analysis of Mixture Experiments - Analyze Design Tab
              • Specifications for Mixture Variables
          • Design of a Mixture Experiment
            • Design of a Mixture Experiment - Quick Tab
            • Design of a Mixture Experiment - Display Design Tab
            • Design of a Mixture Experiment - Add to Design Tab
          • Analysis of a Mixture Experiment
            • Analysis of a Mixture Experiment - Display Design Tab
            • Analysis of a Mixture Experiment - ANOVA/Effects Tab
            • Analysis of a Mixture Experiment - Review/Save Residuals Tab
            • Analysis of a Mixture Experiment - Residual Plots Tab
            • Analysis of a Mixture Experiment - Box-Cox Tab
            • Analysis of a Mixture Experiment - Quick Tab
              • Experimental Design - Values for Reference Blend
            • Analysis of a Mixture Experiment - Model Tab
              • Customized (Pooled) Error Term
            • Analysis of a Mixture Experiment - Prediction & Profiling Tab
              • Experimental Design - Select Factors for Triangular Graph
              • Experimental Design - Values for Reference Blend
              • Experimental Design - Profiler
                • Profiler - Save/Open Tab
                • Profiler - Options Tab
                • Profiler - Quick Tab
                  • Profiler - Select Factor Values
                  • Profiler - Specifications for Factor Grid
          • ANOVA Tables for Mixture Experiments
            • Estimates, Pseudo-Components in Mixture Experiments
            • Experimental Design - Trace Plots for Mixture Experiments
            • Experimental Design - Critical Values for Mixture Experiments
        • Six Sigma Calculator
          • Taguchi Methods: Robust Design Experiments
          • Design & Analysis of Taguchi Robust Design Experiments
            • Design & Analysis of Taguchi Robust Design Experiments - Design Experiment Tab
            • Design & Analysis of Taguchi Robust Design Experiments - Analyze Design Tab
          • Design of a Robust Design Experiment
            • Design of a Robust Design Experiment - Quick Tab
            • Design of a Robust Design Experiment - Display Design Tab
            • Design of a Robust Design Experiment - Add to Design Tab
            • Design of a Robust Design Experiment - Alias Structure Tab
          • Analysis of a Robust Design Experiment
            • Analysis of a Robust Design Experiment - Quick Tab
            • Analysis of a Robust Design Experiment - Design Tab
            • Analysis of a Robust Design Experiment - ANOVA Tab
            • Analysis of a Robust Design Experiment - Means Tab
            • Analysis of a Robust Design Experiment  and Accumulation Analysis Results - Optimum Eta Tab
            • Experimental Design - Select 2 Factors for Interaction
            • Experimental Design - Select Effects to be Pooled
            • Experimental Design - User-Defined Factor Settings
          • Accumulation Analysis Results
            • Accumulation Analysis Results - Quick Tab
            • Accumulation Analysis Results - Design Tab
            • Accumulation Analysis Results - Means Tab
            • Accumulation Analysis Results - Optimum Eta Tab
            • Experimental Design - Select Effects to be Pooled
            • Experimental Design - User-Defined Factor Settings
        • Experimental Design Examples
          • Example 1.1: Designing and Analyzing a 2(7-4) Fractional Factorial Design
          • Example 1.2: Analyzing a 26 Full Factorial
          • Example 1.3: Analyzing a Botched 2(7-4) Fractional Factorial Design
          • Example 2: Designing and Analyzing a 35-Factor Screening Design
          • Example 3: Analyzing a 33 Full Factorial
          • Example 4: Designing and Analyzing a 2332 Experiment
          • Example 5: Central Composite (Response Surface) Designs
          • Example 6: Latin Square Designs
          • Example 7: Taguchi Robust Design Experiment
          • Example 8.1: Designing and Analyzing a Mixture Experiment
          • Example 8.2: Designing and Analyzing a Mixture Experiment with Pseudo-Components
          • Example 9.1: Finding Vertex and Centroid Points for a Constrained Region
          • Example 9.2: Mixture Designs for Components with Upper and Lower Bound Restrictions
          • Example 10.1: Constructing a Simple D-Optimal Design
          • Example 10.2: Constructing a Design from Vertex and Centroid Points (Example 9.1, Continued)
          • Example 11: Constructing a D-Optimal Split Plot Design
          • Example 12: Getting Started Constructing a D-Optimal Design
          • Example 13: Constructing an I-Optimal Design
          • Bayesian Reliability Optimization for Continuous Response Example
          • Special Topics Example 1 - Simultaneous Optimization of Several Response Variables in a Central Composite (Response Surface) Design
          • Special Topics Example 2 - Optimization of the Response Variable in a Three-Factor Mixture Experiment
          • Special Topics Example 3 - Residuals Analysis
          • Special Topics Example 4 - Box-Cox Transformation of a Dependent Variable
        • Experimental Design - Box-Cox Plots for Selecting Transformations
          • Denoting Factors in Experimental Design
          • Experimental Design - Summary for Variables (Factors)
          • Experimental Design - Notes and Technical Information
          • Experimental Design - Note on Missing Data and Multiple Dependent Variables
          • Experimental Design - Note on Unbalanced Designs and Singular Effects Matrices
          • How to Read the Aliases of Main Effects & Interactions Spreadsheet
          • Special Topics - Box-Cox Transformations of Dependent Variables
            • Special Topics - Profiling Predicted Responses and Response Desirability
            • Special Topics - Residuals Analysis
            • Special Topics in Experimental Design
      • Mutivariate Quality Control
        • Multivariate Quality Control Charts Overview
          • The Architecture of the Multivariate Quality Control Charts Module
          • General Purpose
          • General Approach
          • Multivariate Quality Control Computational Details
          • Establishing Control Limits
          • Common Types of Multivariate Control Charts
          • Multivariate Quality Control Charts Events
          • Measurements Related to Product Quality: Custom Alarm Handling and Custom SVB
        • Types of Multivariate Quality Control Charts Analyses
          • Defining Variables for Hotelling T-Square (Individuals) Chart
            • Defining Variables for Hotelling T-Square (Individuals) Chart - Quick Tab
            • Defining Variables for Hotelling T-Square (Individuals) Chart - Sets Tab
            • Defining Variables for Hotelling T-Square (Individuals) Chart - Specs Tab
            • Defining Variables for Hotelling T-Square (Individuals) Chart - Labels, Causes, and Actions Tab
          • Defining Variables for Hotelling T-Square (Means)/GV Chart
            • Defining Variables for Hotelling T-Square (Means)/GV Chart - Quick Tab
            • Defining Variables for Hotelling T-Square (Means)/GV Chart - Sets Tab
            • Defining Variables for Hotelling T-Square (Means)/GV Chart - Specs Tab
            • Defining Variables for Hotelling T-Square (Means)/GV - Labels, Causes, and Actions Tab
          • Defining Variables for MEWMA (Individuals) Chart
            • Defining Variables for MEWMA (Individuals) Chart - Quick Tab
            • Defining Variables for MEWMA (Individuals) Chart - Sets Tab
            • Defining Variables for MEWMA (Individuals) Chart - Specs Tab
            • Defining Variables for MEWMA (Individuals) Chart - Labels, Causes, and Actions Tab
          • Defining Variables for MEWMA (Means) Chart
            • Defining Variables for MEWMA (Means) Chart - Quick Tab
            • Defining Variables for MEWMA (Means) Chart - Sets Tab
            • Defining Variables for MEWMA (Means) Chart - Specs Tab
            • Defining Variables for MEWMA (Means) Chart - Labels, Causes, and Actions Tab
          • Defining Variables for Multivariate CUSUM Chart
            • Defining Variables for Multivariate CUSUM Chart - Quick Tab
            • Defining Variables for Multivariate CUSUM Chart - Sets Tab
            • Defining Variables for Multivariate CUSUM Chart - Specs Tab
            • Defining Variables for Multivariate CUSUM Chart - Labels, Causes, and Actions Tab
          • Defining Variables for Multiple Stream X and MR Chart
            • Defining Variables for Multiple Stream X and MR Chart - Quick Tab
            • Defining Variables for Multiple Stream X and MR Chart - Sets Tab
            • Defining Variables for Multiple Stream X and MR Chart - Labels, Causes, and Actions Tab
          • Defining Variables for Multiple Stream X-Bar and R Chart
            • Defining Variables for Multiple Stream X-Bar and R Chart - Quick Tab
            • Defining Variables for Multiple Stream X-Bar and R Chart - Sets Tab
            • Defining Variables for Multiple Stream X-Bar and R Chart - Labels, Causes, and Actions Tab
          • Defining Variables for Multiple Stream X-Bar and S Chart
            • Defining Variables for Multiple Stream X-Bar and S Chart - Quick Tab
            • Defining Variables for Multiple Stream X-Bar and S Chart - Sets Tab
            • Defining Variables for Multiple Stream X-Bar and S Chart - Labels, Cause, Actions Tab
          • Hotelling T2, MEWMA, MCUSUM, and Multiple Stream Results Dialog Boxes
            • Hotelling T2, MEWMA, MCUSUM, and Multiple Stream Results Dialog Boxes - Charts Tab
            • Hotelling T2, MEWMA, and MCUSUM Results Dialogs - X(Multivariate) Tab; Multiple Stream Results Dialogs - X(XBar) Specs Tab
            • Hotelling T2 for Means, and Multiple Stream Charts Results Dialogs - GV Specs/R/S Specs Tab
            • Hotelling T2, MEWMA, MCUSUM, and Multiple Stream Results Dialog Boxes - Sets Tab
            • Hotelling T2, MEWMA, MCUSUM, and Multiple Stream Results Dialog Boxes - Brushing Tab
        • Multivariate Quality Control Charts Startup Panel
          • Multivariate Quality Control Charts Startup Panel - Quick Tab
            • Multivariate Quality Control Charts Startup Panel - Real-Time Tab
          • Options
            • Options Dialog - Alarms Tab
            • Options Dialog - Labeling Tab
            • Options Dialog - Layout Tab
            • Options Dialog - Patterns Tab
            • Options Dialog - Scaling Tab
        • MQC Charts Examples
          • MQC Charts Example 1 - Creating a Hotelling's T2 Chart
          • MQC Charts Example 2 - Creating a MEWMA Chart for Individuals
          • MQC Charts Example 3 - Computing Chart Parameters for Different Sets
          • MQC Charts Example 4 - Creating a Multiple Stream Chart
          • MQC Charts Example 5 - Creating a Multivariate CUSUM Chart
      • Six Sigma (DMAIC) Shortcuts
        • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Define - Cause and Effect Diagrams
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Define - Blank Graph
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Define - Six Sigma Calculator
        • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Measure - Descriptive Statistics
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Measure - SixGraph Summary
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Measure - Missing and Out of Range Data
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Measure - Box and Whisker Plot
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Measure - Gage R & R
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Measure - Sampling
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Measure - Power Analysis
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Measure - Process Capability
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Measure - Distribution Fitting
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Measure - Frequency Tables
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Measure - Time Series Plots
        • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - Cause and Effect Diagrams
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - t-test
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - Paired t-test
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - Nonparametric Tests
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - Stratification Analysis
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - Correlations
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - 2D Scatterplots
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - 3D Scatterplots
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - Regression
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - Experimental Design
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - GLM
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Analyze - GLZ
        • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Improve - Quality Control Charts
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Improve - SixGraph Summary
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Improve - Frequency
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Improve - Histogram
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Improve - Pareto Charts
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Improve - Process Capability Charts
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Improve - Experimental Design
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Improve - Six Sigma Calculator
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Improve - Stratification Analysis
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Improve - Stratification Charts
        • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Control - Quality Control Charts
        • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Display Six Sigma Menu
          • Statistics - Industrial Statistics And Six Sigma - Six Sigma (DMAIC) Shortcuts - Customize - Display Six Sigma Toolbar
    • Power Analysis
      • Power Analysis Overview
      • Power Analysis Introductory Overview - Power Analysis and Sample Size Calculation in Experimental Design
        • Power Analysis and Sample Size Calculation in Experimental Design - Sampling Theory and Hypothesis Testing Logic
        • Power Analysis and Sample Size Calculation in Experimental Design - Calculating Power
        • Power Analysis and Sample Size Calculation in Experimental Design - Calculating Required Sample Size
        • Power Analysis and Sample Size Calculation in Experimental Design - Graphical Approaches to Power Analysis
      • Power Analysis Introductory Overview - Noncentrality Interval Estimation and the Evaluation of Statistical Models
        • Noncentrality Interval Estimation and the Evaluation of Statistical Models - Advantages of Interval Estimation
        • Noncentrality Interval Estimation and the Evaluation of Statistical Models - Inadequacies of the Hypothesis Testing Approach
        • Noncentrality Interval Estimation and the Evaluation of Statistical Models - Reasons Why Interval Estimates are Seldom Reported
        • Noncentrality Interval Estimation and the Evaluation of Statistical Models - Replacing Traditional Hypothesis Tests with Interval Estimates
      • Power Analysis and Interval Estimation Startup Panel and Quick Tab
        • 1-Sample t-test: Power Calculation Parameters
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • 1 Sample t-Test: Power Calculation Results
          • 1 Sample t-Test: Power Calculation Results - Quick Tab
        • Independent Sample t-Test: Power Calculation Parameters
          • Independent Sample t-Test: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Independent Sample t-Test: Power Calculation Results
          • Independent Sample t-Test: Power Calculation Results - Quick Tab
        • Dependent Sample t-Test: Power Calculation Parameters
          • Dependent Sample t-Test: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Dependent Sample t-Test: Power Calculation Results
          • Dependent Sample t-Test: Power Calculation Results - Quick Tab
        • Planned Contrast: Power Calculation Parameters
          • Planned Contrast: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Planned Contrast: Power Calculation Results
          • Planned Contrast: Power Calculation Results - Quick Tab
        • 1-Way ANOVA: Power Calculation Parameters
          • 1-Way ANOVA: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • 1-Way ANOVA: Power Calculation Results
          • 1-Way ANOVA: Power Calculation Results - Quick Tab
        • 2-Way ANOVA: Power Calculation Parameters
          • 2-Way ANOVA: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • 2-Way ANOVA: Power Calculation Results
          • 2-Way ANOVA: Power Calculation Results - Quick Tab
        • One Variance: Power Calculation Parameters
          • One Variance: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • One Variance: Power Calculation Results
          • One Variance: Power Calculation Results - Quick Tab
        • Two Variances: Power Calculation Parameters
          • Two Variances: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Two Variances: Power Calculation Results
          • Two Variances: Power Calculation Results - Quick Tab
        • t-Test for Zero Correlation: Power Calculation Parameters
          • t-Test for Zero Correlation: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • t-Test for Zero Correlation: Power Calculation Results
          • t-Test for Zero Correlation: Power Calculation Results - Quick Tab
        • Two Correlations: Power Calculation Parameters
          • Two Correlations: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Two Correlations: Power Calculation Results
          • Two Correlations: Power Calculation Results - Quick Tab
        • Multiple R²: Power Calculation Parameters
          • Multiple R²: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Multiple R²: Power Calculation Results
          • Multiple R²: Power Calculation Results - Quick Tab
        • Single Proportion: Power Calculation Parameters
          • Single Proportion: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Single Proportion: Power Calculation Results
          • Single Proportion: Power Calculation Results - Quick Tab
        • Comparing 2 Proportions: Power Calculation Parameters
          • Comparing 2 Proportions: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Comparing 2 Proportions: Power Calculation Results
          • Comparing 2 Proportions: Power Calculation Results - Quick Tab
        • McNemar's Test: Power Calculation Parameters
          • McNemar's Test: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • McNemar's Test: Power Calculation Results
          • McNemar's Test: Power Calculation Results - Quick Tab
        • Log-Rank Test: Power Calculation Parameters
          • Log-Rank Test: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Log-Rank Test: Power Calculation Results
          • Log-Rank Test: Power Calculation Results - Quick Tab
        • Survival, Exponential, Accrual: Power Calculation Parameters
          • Survival, Exponential, Accrual: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Survival, Exponential, Accrual: Power Calculation Results
          • Survival, Exponential, Accrual: Power Calculation Results - Quick Tab
        • Survival, Exponential, Accrual, Dropouts: Power Calculation Parameters
          • Survival, Exponential, Accrual, Dropouts: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Survival, Exponential, Accrual, Dropouts: Power Calculation Results
          • Survival, Exponential, Accrual, Dropouts: Power Calculation Results - Quick Tab
        • Structural Equation Modeling: Power Calculation Parameters
          • Structural Equation Modeling: Power Calculation Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Structural Equation Modeling: Power Calculation Results
          • Structural Equation Modeling: Power Calculation Results - Quick Tab
      • Sample Size Calculation
        • One Mean t-Test
          • 1 Sample t-Test: Sample Size Parameters
          • 1 Sample t-Test: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • 1 Sample t-Test: Sample Size Calculation Results
          • 1 Sample t-Test: Sample Size Calculation Results - Quick Tab
        • Two Means, t-Test, Ind. Samples
          • Independent Sample t-Test: Sample Size Parameters
          • Independent Sample t-Test: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Independent Sample t-Test: Sample Size Calculation Results
          • Independent Sample t-Test: Sample Size Calculation Results - Quick Tab
        • Two Means, t-Test Dep. Samples
          • Dependent Sample t-Test: Sample Size Parameters
          • Dependent Sample t-Test: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Dependent Sample t-Test: Sample Size Calculation Results
          • Dependent Sample t-Test: Sample Size Calculation Results - Quick Tab
        • Several Means, Planned Contrast
          • Planned Contrast: Sample Size Parameters
          • Planned Contrast: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Planned Contrast: Sample Size Calculation Results
          • Planned Contrast: Sample Size Calculation Results - Quick Tab
        • Several Means, ANOVA, 1-Way
          • 1-Way ANOVA: Sample Size Parameters
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • 1-Way ANOVA: Sample Size Calculation Results
          • 1-Way ANOVA: Sample Size Calculation Results - Quick Tab
          • 1-Way ANOVA: Sample Size Parameters - Quick Tab
            • ANOVA Effects Calculation
        • Several Means, ANOVA, 2-Way
          • 2-Way ANOVA: Sample Size Parameters
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • 2-Way ANOVA: Sample Size Calculation Results
          • 2-Way ANOVA: Sample Size Calculation Results - Quick Tab
          • 2-Way ANOVA: Sample Size Parameters - Quick Tab
            • 2-Way ANOVA Effects Calculation
        • One Variance, Chi-Square Test
          • One Variance: Sample Size Parameters
          • One Variance: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • One Variance: Sample Size Calculation Results
          • One Variance: Sample Size Calculation Results - Quick Tab
        • Two Variances, F-Test
          • Two Variances: Sample Size Parameters
          • Two Variances: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Two Variances: Sample Size Calculation Results
          • Two Variances: Sample Size Calculation Results - Quick Tab
        • One Correlation, t-Test
          • t-Test for Zero Correlation: Sample Size Parameters
          • t-Test for Zero Correlation: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • t-Test for Zero Correlation: Sample Size Calculation Results
          • t-Test for Zero Correlation: Sample Size Calculation Results - Quick Tab
        • Two Correlations, Z-Test
          • Two Correlations: Sample Size Parameters
          • Two Correlations: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Two Correlations: Sample Size Calculation Results
          • Two Correlations: Sample Size Calculation Results - Quick Tab
        • Squared Multiple Correlation
          • Multiple R²: Sample Size Parameters
          • Multiple R²: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Multiple R²: Sample Size Calculation Results
          • Multiple R²: Sample Size Calculation Results - Quick Tab
        • One Proportion, Z, Chi-Square Test
          • Single Proportion: Sample Size Parameters
          • Single Proportion: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Single Proportion: Sample Size Calculation Results
          • Single Proportion: Sample Size Calculation Results - Quick Tab
        • Two Proportions, Z-Test
          • Comparing 2 Proportions: Sample Size Parameters
          • Comparing 2 Proportions: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Comparing 2 Proportions: Sample Size Calculation Results
          • Comparing 2 Proportions: Sample Size Calculation Results - Quick Tab
        • Two Proportions, Paired Sample
          • McNemar's Test: Sample Size Parameters
          • McNemar's Test: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • McNemar's Test: Sample Size Calculation Results
          • McNemar's Test: Sample Size Calculation Results - Quick Tab
        • Survival - Log-Rank Test
          • Log-Rank Test: Sample Size Parameters
          • Log-Rank Test: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Log-Rank Test: Sample Size Calculation Results
          • Log-Rank Test: Sample Size Calculation Results - Quick Tab
        • Survival - Exponential, Accrual
          • Survival, Exponential, Accrual: Sample Size Parameters
          • Survival, Exponential, Accrual: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Survival, Exponential, Accrual: Sample Size Calculation Results
          • Survival, Exponential, Accrual: Sample Size Calculation Results - Quick Tab
        • Survival - Exp., Accrual/Dropouts
          • Survival, Exponential, Accrual, Dropouts: Sample Size Parameters
          • Survival, Exponential, Accrual, Dropouts: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Survival, Exponential, Accrual, Dropouts: Sample Size Calculation Results
          • Survival, Exponential, Accrual, Dropouts: Sample Size Calculation Results - Quick Tab
        • Structural Equation Modeling
          • Structural Equation Modeling: Sample Size Parameters
          • Structural Equation Modeling: Sample Size Parameters - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
          • Structural Equation Modeling: Sample Size Calculation Results
          • Structural Equation Modeling: Sample Size Calculation Results - Quick Tab
      • Interval Estimation
        • 1 Sample t-Test: Interval Estimation
          • 1 Sample t-Test: Interval Estimation - Quick Tab
          • Power Analysis and Interval Estimation - Settings I/O Tab
        • Independent Sample t-Test: Interval Estimation
          • Independent Sample t-Test: Interval Estimation - Quick Tab
        • Dependent Sample t-Test: Interval Estimation
          • Dependent Sample t-Test: Interval Estimation - Quick Tab
        • Planned Contrast: Interval Estimation
          • Planned Contrast: Interval Estimation - Quick Tab
          • Planned Contrast: Effects Calculation
        • 1-Way ANOVA: Interval Estimation
          • 1-Way ANOVA: Interval Estimation - Quick Tab
        • 2-Way ANOVA: Interval Estimation
          • 2-Way ANOVA: Interval Estimation - Quick Tab
        • t-Test for Zero Correlation: Interval Estimation
          • t-Test for Zero Correlation: Interval Estimation - Quick Tab
        • Multiple R²: Interval Estimation
          • Multiple R²: Interval Estimation: Quick Tab
        • Single Proportion: Interval Estimation
          • Single Proportion: Interval Estimation - Quick Tab
        • Structural Equation Modeling: Interval Estimation
          • Structural Equation Modeling: Interval Estimation - Quick Tab
      • Probability Distributions
        • Binomial Distribution Probability Calculator
          • Binomial Distribution Probability Calculator - Quick Tab
        • Multiple R² Probability Calculator
          • Multiple R² Probability Calculator - Quick Tab
        • Noncentral Chi-square Probability Calculator
          • Noncentral Chi-square Probability Calculator - Quick Tab
        • Pearson Correlation Probability Calculator
          • Pearson Correlation Probability Calculator - Quick Tab
        • Noncentral t Probability Calculator
          • Noncentral t Probability Calculator - Quick Tab
        • Noncentral F Probability Calculator
          • Noncentral F Probability Calculator - Quick Tab
      • Examples
        • Example 1: Power and Sample Size Calculation for the Independent Sample t-Test
        • Example 2: Analyzing Power, Sample Size, and Effect Size in 1-Way ANOVA
        • Example 3: Sample Size Calculation in Factor Analysis
        • Example 4: Power and Sample Size in Complex Factorial ANOVA
        • Example 5: Power Calculation in a 1-Way Repeated Measures ANOVA
        • Example 6: Hypotheses About the Noncentrality Parameter of the F Distribution
        • Example 7: Constructing a Confidence Interval on the Noncentrality Parameter
        • Example 8: Power of Nonstandard Significance Tests in the Analysis of Variance
        • Example 9: Exact Tests and Confidence Intervals for the Correlation Coefficient
        • Example 10: Confidence Intervals and Special Tests on the Multiple Correlation
    • Statistica Automated Neural Networks (SANN) - Neural Networks Overview
      • SANN Overviews - Neural Network Tasks
      • SANN Overviews - Network Types
      • SANN Overviews - Activation Functions
      • SANN Overviews - Selecting the Input Variables
      • SANN Overviews - Neural Network Complexity
      • SANN Overviews - Network Training
      • SANN Overviews - Network Generalization
      • SANN Overviews - Pre and Post Processing of Data
      • SANN Overviews - Predicting Future Data and Deployment
      • SANN Overviews - Recommended Textbooks
      • SANN Overviews - Ensembles and Subsampling
      • SANN - New Analysis/Deployment Startup Panel and Quick Tab
        • SANN - Data Selection
          • SANN - Data Selection - Quick Tab
          • SANN - Data Selection - Sampling (CNN and ANS) Tab
          • SANN - Data Selection - Subsampling Tab
          • SANN - Data Selection - Time Series Tab
        • SANN - Automated Network Search (ANS)
          • SANN - Automated Network Search (ANS) - Quick Tab
          • SANN - Automated Network Search (ANS) - MLP Activation Functions Tab
          • SANN - Automated Network Search (ANS) - Weight Decay Tab
          • SANN - Automated Network Search (ANS)  Initialization Tab
          • Neural Network Training in Progress
        • SANN - Custom Neural Network
          • SANN - Custom Neural Network - Quick Tab
          • SANN - Custom Neural Network/Subsampling - MLP Tab
          • SANN - Custom Neural Network/Subsampling - RBF Tab
          • SANN - Custom Neural Network/Subsampling - Weight Decay Tab
          • SANN - Custom Neural Network/Automated Network Search (ANS)/Subsampling - Initialization Tab
          • SANN - Custom Neural Network/Subsampling - Real Time Training Graph Tab
          • SANN - Custom Neural Network - Quick (Kohonen) Tab
          • SANN - Custom Neural Network - Kohonen Training Tab
        • SANN - Subsampling Dialog Box and Quick Tab
          • SANN - Subsampling - MLP Tab
          • SANN - Subsampling - RBF Tab
          • SANN - Subsampling – Weight Decay Tab
          • SANN - Subsampling - Initialization Tab
          • SANN - Custom Neural Network/Subsampling - Real Time Training Graph Tab
        • SANN - Results
          • SANN - Results - Predictions Tab
          • SANN - Results - Graphs Tab
          • SANN - Results - Details Tab
          • SANN - Results - Custom Predictions Tab
          • SANN - Results - Predictions (Kohonen) Tab
          • SANN - Results - Graphs Tab
          • SANN - Results - Kohonen Graph Tab
          • SANN - Results - Liftcharts Tab
          • SANN - Results - Time Series Tab
          • Model Activation
          • Model Deletion
      • Examples
        • SANN Example 1: Performing Regression with 4-Bar Linkage Data
        • SANN Example 2: The Iris Problem (Classification)
        • SANN Example 3: Growth in Number of Airline Passengers over Time
        • SANN Example 4: Time Series (Classification)
        • SANN Example 5: Cluster Analysis in SANN
        • SANN Example 6: Deploying the 4Bar Linkage Data
    • PLS, PCA, Multivariate/Batch SPC
      • Multivariate Statistical Process Control (MSPC) and Nonlinear Iterative Partial Least Squares (NIPALS) Overview
        • Multivariate Statistical Process Control and Quick Tab
      • Deployment
        • Deployment Model - Quick Tab
        • Deployment Model - Results Tab
        • Deployment Model
      • PCA
        • PCA
        • PCA - Fitting Tab
        • PCA - NIPALS Tab
        • PCA - Quick Tab
        • PCA Results - Quick Tab
        • PCA - Options Tab
        • PCA Results - Advanced Tab
        • PCA Results - Quality Tab
        • PCA Results
        • PCA Results - MD Tab
        • PCA - Advanced Tab
        • PCA Results - Plots Tab
        • PCA Example
        • PCA Deployment Example
        • Variable Block
        • Biplot Variables
      • PLS
        • PLS - Fitting Tab
        • PLS - Quick Tab
        • PLS - Options Tab
        • PLS - NIPALS Tab
        • PLS
        • PLS Results
        • PLS Results - Plots Tab
        • PLS - Advanced Tab
        • PLS Results - Quick Tab
        • PLS Results - MD Tab
        • PLS Results - Advanced Tab
        • PLS Results - Quality Tab
        • User-Defined Scale (Standard Deviation)
        • Test Sample Identifier
      • TMPCA
        • TMPCA - NIPALS Tab
        • TMPCA - Advanced Tab
        • TMPCA - Quick Tab
        • TMPCA
        • TMPCA - Fitting Tab
        • TMPCA Results - Quick Tab
        • TMPCA Results
        • TMPCA Results - Advanced Tab
        • TMPCA Results - Plots Tab
        • TMPCA Example
        • Select Batch Codes
      • BMPLS
        • BMPLS - Advanced Tab
        • BMPLS - NIPALS Tab
        • BMPLS Results
        • BMPLS
        • BMPLS Results - Plots Tab
        • BMPLS Results - Advanced Tab
        • BMPLS - Fitting Tab
        • BMPLS - Quick Tab
        • BMPLS Results - Quick Tab
      • TMPLS
        • TMPLS - Quick Tab
        • TMPLS Results - Quick Tab
        • TMPLS - Advanced Tab
        • TMPLS Results
        • TMPLS - Fitting Tab
        • TMPLS Results - Plots Tab
        • TMPLS - NIPALS Tab
        • TMPLS Results - Advanced Tab
        • TMPLS
      • PCA/PLS Startup Panel and Quick Tab
      • MSPC Raw Data Example
      • Multivariate Statistical Process Control (MSPC) Technical Notes
        • Principal Component Analysis (PCA) and Partial Least Squares (PLS) Technical Notes
        • NIPALS Technical Notes
      • Brushing Commands
    • Overviews
      • VEPAC Overview
      • Overview - Fixed and Random Effects
      • Overview - ANOVA and REML Estimation Methods
      • Overview - ANOVA and REML Method Implementation in Variance Estimation and Precision
      • Computational Details
      • Technical Notes - Determining the Default Design
      • Technical Notes - ByGroup Analysis with Variance Estimation and Precision
    • Dialogs
      •  Variance Estimation and Precision Startup Panel
        • Define/Review Model
        • Define Custom Design
      • Variance Estimation and Precision Results
        • Variance Estimation and Precision Results - Summary Tab
        • Collapse Variance Components
        • Collapsed Name
        • Variance Estimation and Precision Results - Residuals Tab
        • Variance Estimation and Precision Results - Variance Evaluation Tab
        • Variance Estimation and Precision Results - Means Comparisons Tab
        • Select an Effect
    • Examples
      • Example 1: Balanced and Unbalanced Two-Way Mixed Models
      • Example 2: Variance Component Estimation for a Four-Way Mixed Factorial Design
      • Example 3: Variance Component Estimation for a Hierarchically Nested Random Design
      • Example 4: Estimating the Population Intraclass Correlation in Variance Estimation and Precision
      • Example 5: Analyzing a Nested Mixed Model
    • Statistics of Block Data
      • Block Columns - Rows
        • Statistics - Statistics of Block Data - Block Columns/Rows - Means
        • Statistics - Statistics of Block Data - Block Columns/Rows - Medians
        • Statistics - Statistics of Block Data - Block Columns/Rows - SD's
        • Statistics - Statistics of Block Data - Block Columns/Rows - Valid N's
        • Statistics - Statistics of Block Data - Block Columns/Rows - Sums
        • Statistics - Statistics of Block Data - Block Columns/Rows - Min's
        • Statistics - Statistics of Block Data - Block Columns/Rows - Max's
        • Statistics - Statistics of Block Data - Block Columns/Rows - 25%'s
        • Statistics - Statistics of Block Data - Block Columns/Rows - 75%'s
        • Statistics - Statistics of Block Data - Block Columns/Rows - All
    • Statistica Visual Basic
      • UnderstandingMacros
        • Macro (Statistica Visual Basic) Overview
        • Macro (SVB) Programs Window Overview
        • Debugging/Logging
      • Optimization
        • Speeding Up the Execution (Loading) of Statistica Visual Basic Programs by Removing Unnecessary References (Type Libraries)
      • MatrixFunctions
        • MatrixandStatisticalFunctionLibraries
          • Statistica Matrix and Statistical Function Libraries
          • Include File Graphics.svx
          • Include File STB.svx and Statistica Visual Basic Library of Matrix Functions
          • A Simple Example - Inverting a Matrix
          • Example - Accessing Variables (Columns) in Spreadsheets via the .VData(i) Property
          • Example - Accessing All Data in Spreadsheets via the .Data Property
          • Accessing the Matrix Library via the MatrixObject
        • Statistica Visual Basic Library of Matrix Functions - MatrixFill (Scalar, DestMatrix, DestRow, DestCol, ?NoOfRows, ?NoOfCols)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSingularValuesDecomp (Matrix, U, W, V)
        • Statistica Visual Basic Library of Matrix Functions - VectorDualSort (Vector, IndexVector, Direction)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSubtract (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixTranspose (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSumOfSquares (Matrix, Result)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSolve (Matrix, MatrixSolution, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixTrace (Matrix, Result)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSetRow (Matrix, Row, RowVector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixWrite (FileName$, Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSetToZero (Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSweep (Matrix, From, To, Dir)
        • Statistica Visual Basic Library of Matrix Functions - ReDim Array_Name (XDim, ...)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSetDiagonal (Matrix, DiagVector)
        • Statistica Visual Basic Library of Matrix Functions - NewScrollsheet (?NoOfRows, ?NoOfColumns, Array, ?Title$, ?RowNames$, ?ColumnNames)
        • Statistica Visual Basic Library of Matrix Functions - MatrixReadFromDataFile (FileName$, ?FirstCase, ?FirstVar, ?NoOfCases, ?NoOfVars, Matrix)
        • Statistica Visual Basic Library of Matrix Functions - Wishart
        • Statistica Visual Basic Library of Matrix Functions - VectorSort (Vector, Direction)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSetColumn (Matrix, Column, ColVector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixMeans (Matrix, Vector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixDet (Matrix, Result)
        • Statistica Visual Basic Library of Matrix Functions - MatrixElemMultiply (Matrix, Scalar, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixGetDiagonal (Matrix, DiagVector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixElemAdd (Matrix, Scalar, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixEigenValues (Matrix, Eigenvalues, NumEigen)
        • Statistica Visual Basic Library of Matrix Functions - MatrixElemSubtract (Matrix, Scalar, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixGetColumn (Matrix, Column, ColVector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixDisplay (Matrix, ?Title$)
        • Statistica Visual Basic Library of Matrix Functions - MatrixRank (Matrix, Result)
        • Statistica Visual Basic Library of Matrix Functions - MatrixRead (FileName$, Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSingularValues (Matrix, SingularValues)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsGreaterEqual (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixKroneckerMultiply (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsLess (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixMultiply (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixLogicalNot (Matrix1, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsGreater (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIdentity (Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsNotEqual (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsLessEqual (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixLogicalOr (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixLogicalAnd (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixInverse (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsEqual (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - ScrollsheetGetMatrix (Handle, Row, Column, Matrix)
        • Statistica Visual Basic Library of Matrix Functions - Lowess (VectorX, VectorY, SmoothF, Nsteps, Delta, VectorXSorted, VectorYSmooth, VectorRWeights, VectorResiduals)
        • Statistica Visual Basic Library of Matrix Functions - MatrixDuplicate (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - Dim Array_Name (XDim, ...)
        • Statistica Visual Basic Matrix Language - Overview
        • Statistica Visual Basic Library of Matrix Functions - MatrixAllNonZero (Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCombineHoriz (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixGetRow (Matrix, Row, RowVector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixGramSchmidtOrt (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixElemDivide (Matrix, Scalar, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions
        • Statistica Visual Basic Library of Matrix Functions - MatrixGeneralPseudolnverse (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixEigenVectors (Matrix, Eigenvalues, Eigenvectors, NumEigen)
        • Statistica Visual Basic Library of Matrix Functions - VectorRank (Vector, Direction, DupControl)
        • Statistica Visual Basic Library of Matrix Functions - ScrollsheetSetMatrix (Handle, Row, Column, Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixExtract (Matrix, Row, Column, ?NoOfRows, ?NoOfCols, SubMatrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCopy (SrcMatrix, SrcRow, SrcCol, ?NoOfRows, ?NoOfCols, DestMatrix, DestRow, DestCol)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCrossProductOfDev (Matrix1, Intercept, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCorrelations (Matrix, Intercept, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCholeskyDecomposition (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixAdd (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixAnyNonZero (Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCombineVert (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - LOWESS (VectorX, VectorY, SmoothF, Nsteps, Delta, VectorXSorted, VectorYSmooth, VectorRWeights, VectorResiduals)
      • Examples
        • Macro (SVB) Program Examples
        • General Visual Basic Syntax Documentation - Interactive WinWrap Help Engine
        • Macro (SVB) Programs Example - Displaying a Progress Bar
        • Macro (SVB) Program Examples - Running a Query via a Macro
        • Macro (SVB) Program Examples - Creating a Statistica Query Toolbar
        • Macro (SVB) Programs Example - Inserting All Open Windows into a Workbook
        • Macro (SVB) Programs Example - Graph Function Library
        • Macro (SVB) Programs Example - Accessing and Customizing Graphs
        • Macro (SVB) Programs Example - Creating and Customizing Graph Objects
        • Macro (SVB) Programs Example - Basic Spreadsheet Manipulation
        • Macro (SVB) Program Examples - Creating a Random Sized Spreadsheet
        • Macro (SVB) Programs Example - Creating a Cell-Function Spreadsheet
        • Macro (SVB) Programs Example - Resize a Spreadsheet
        • Macro (SVB) Programs Example - Creating User-Defined Custom Functions
        • Macro (SVB) Programs Example - Creating Sample Statistics (Descriptives and Correlations)
        • Macro (SVB) Programs Example - Creating and Customizing Box-Plots
        • Macro (SVB) Programs Example - Inserting an Array into a Spreadsheet
        • Macro (SVB) Programs Example - Converting a Spreadsheet's Data Type
        • Macro SVB Programs Examples - Searching a Spreadsheet's Cells for a Value
        • Macro (SVB) Programs Example - Creating a Self-Updating Dataset
        • Macro (SVB) Programs Example - Auto-Fitting a Spreadsheet's Variable Columns
      • GeneralSVBConventions
        • Events
          • Document-Level Events Example
          • Document Events Window
          • Application-Level Events Example
        • Controlled Loops
        • Conditional Loops
        • How to use Strings in Statistica Visual Basic
        • Passing Lists of Strings to Statistica Visual Basic Functions
        • Statistica Visual Basic Syntax Reference - User-defined Functions and Subroutines
        • Basic Rules for Simple SVB Programs
        • Advanced Conditional Expressions
        • Variables and Values of Variables
        • Variable and Function Naming Conventions
        • Statistica Visual Basic Syntax Reference - User-defined Functions and Subroutines (Arguments)
        • Array Indexing
        • Redimensioning an Array
        • How to Specify Arrays in Statistica Visual Basic Functions
        • Declaring a Variable
        • Retrieving Lists of Strings in Statistica Visual Basic
        • Placing Results in Workbooks, Reports, Etc., via the RouteOutput Method
        • Importing Version 5.x STB Programs to Statistica Visual Basic (Technical Notes)
        • Importing Version 5.x SCL Programs to Statistica Visual Basic (Technical Notes)
      • QuickRef
        • How Do I Set (or Leave Unchanged) Default Values of Function Parameters?
        • Are There Example Statistica Visual Basic Programs Included in the Package?
        • How Do I Assign a Value to a Variable?
        • How Do I Specify a Conditional Instruction?
      • Dialogs
        • Macro Type
        • New Macro
        • References
        • Function Browser
        • Object Browser
        • Grid Settings
        • UserDialog Editor
        • Macro Properties
        • Add Macro References?
        • Importing STB/SCL
        • Events Warning
        • Analysis Warnings
        • STB Import Warning
        • SCL Import Warning
      • Menus
        • Debug - Add Watch
        • Debug - Run To Cursor
        • Debug - Step Out
        • Debug - Step Over
        • Debug - Step Into
        • Edit - Outdent
        • Tools - References
        • File - Save as Global Macro
        • Tools - Dialog Editor
        • View - Object Browser
        • File - Add to Report - New Report
        • Tools - Import STB/SCL
        • Edit - Indent
        • Tools - Types Browser
        • Edit - Macro Properties
        • View - Font
        • View - Function Browser
        • Edit - Delete
        • Tools - Function Browser
        • File - Add to Workbook - Add to Analysis Workbook
        • File - Add to Workbook - New Workbook
        • File - Add to Report - Add to Analysis Report
        • Run - Run Macro
        • Run - Break
        • Run - Reset
        • Debug - Show Next Statement
        • Debug - Clear All Breakpoints
        • Debug - Set Next Statement
        • Debug - Quick Watch
        • Debug - Toggle Breakpoint
        • Tools - Object Browser
      • StaDev
        • StaGetVarName
        • StaGetValueForLabel
        • StaGetCaseData
        • StaGetVarFormat
        • StaGetNVars
        • StaGetVarLabelByIndex
        • StaGetFileHeader
        • StaSetData
        • StaGetAllMD
        • StaSetCaseNameLength
        • StaGetNumVarLabels
        • StaSetCaseName
        • StaSetVarName
        • StaOpenFile
        • StaSetFileHeader
        • StaSetVarMD
        • StaSetCaseData
        • StaSetVarLongName
        • StaSetVarFormat
        • StaCreateFile
        • StaDeleteLabelForValue
        • StaDeleteVars
        • StaCloseFile
        • StaAddVars
        • StaGetNCases
        • StaAddCases
        • StaDeleteCases
        • StaDeleteLabel
        • Migrating from StaDev to Statistica's COM Architecture
        • StaGetVarLongName
        • StaGetVarMD
        • StaGetLongLabelForValue
        • StaGetLabelForValue
        • StaGetData
        • StaGetCaseNameLength
        • StaGetCaseName
        • StaAddLabel
      • CPlusPlus
        • Running Basic Statistics in C++
        • Exporting a Spreadsheet as Text in C++
        • Statistica Programming in C++ Overview
      • AddIns
        • Creating a Statistica Add-In
        • Installing an Add-In
        • ProgID
      • CSharp
        • Statistica Programming in C# Overview
        • Creating and Editing a Box & Whisker Plot in C#
      • VBNET
        • Sending Custom Statistics to Statistica in VB.NET
        • Statistica Programming in VB.NET Overview
      • Delphi
        • Statistica Programming in Delphi Overview
        • Running Descriptive Statistics in Delphi
      • FAQ
        • General Introduction to Statistica Visual Basic
          • What are properties, what are methods?
          • How do I access SVB?
          • What is Statistica Visual Basic (SVB)?
          • What are some of the applications of SVB?
          • What does a simple SVB program look like?
          • I know nothing about Visual Basic or programming; where do I start?
          • What is meant by the term "object model?"
        • Recording Macros Recording an Analysis into a Statistica Visual Basic Program
          • How do I execute an SVB program from within Statistica?
          • What exactly is recorded in Master Macros?
          • How can I record an Analysis Macro?
          • How can I record a Master Macro (Log of Analyses)?
          • How can I record my analysis in an SVB program?
          • What exactly is recorded in Analysis Macros?
        • General Statistica Visual Basic Language Features Data Types Subroutines Functions Classes Objects
          • What are local variables vs. global variables?
          • What is the difference between passing variables to subroutines and functions by value and by reference?
          • How do I specify a conditional instruction (if ... then)?
          • How do I execute an expression in a loop?
          • What are collections?
          • I already know about Visual Basic; Does SVB support advanced language features?
          • What are subroutines and functions?
          • How do I assign a value to a variable?
          • Which data types are supported in SVB?
          • Can I expand my SVB by calling external DLLs?
          • Can I define my own class modules and object modules?
        • Components of Recorded Macros SVB Programs Case Selection Conditions Output Options
          • How can I speed up the execution (loading) of Statistica Visual Basic programs by removing unnecessary references (type libraries)?
          • How are case selection conditions and case weights handled in recorded macros?
          • How are output options handled in recorded macros?
          • What are the names for the Statistica reference libraries (modules)?
          • What are the major "components" in a typical SVB macro program?
        • Statistica Visual Basic Development Environment
          • How can I get on-line help?
          • How are errors handled during the execution of an SVB program?
          • What is the Function Browser?
          • How are non-fatal errors (warnings) handled during the execution of an SVB program?
          • Does SVB include a "Dialog Painter"?
          • Does the SVB environment provide tools for debugging?
        • Using SVB To Manage Statistica Analyses DataFiles Results Spreadsheets Graphs
          • How can I change the font (or other aspects) of numbers in spreadsheets?
          • Which kind of output can I create with SVB?
          • How can I access results spreadsheets, graphs, workbooks, etc.?
          • How can I create a blank graph, and set data directly into the graph?
          • How can I attach a macro program to a toolbar button (keyboard command, or menu option)?
          • What is the RouteOutput method; what is the AnalysisOutput object?
          • How is SVB integrated with Statistica data (input), analyses and output?
          • How can I modify the appearance of graphs (e.g., axis labels) from within SVB?
          • How can other aspects of graphs be modified?
          • Can I use SVB to develop "extensions" of Statistica and my own new "modules?"
        • Running Statistica Visual Basic Programs from Other Applications
          • How can I run a Statistica analysis from Microsoft Excel?
          • Can I execute an SVB program from within other Visual Basic compatible applications?
        • Handling Large Computational Problems Matrix Operations
          • What is the capacity of SVB, and can it handle large computational problems?
          • How can I use the data in a spreadsheet with matrix functions? (How do I copy data efficiently from spreadsheets to matrices, and back?)
          • Does SVB support matrix operations?
        • Creating and Managing Custom Dialogs in Statistica Visual Basic
          • Can I create custom dialogs and other interactive user input controls in SVB?
          • How are the different controls in custom dialogs "serviced?"
        • Customizing the Appearance and Behavior of Statistica via Statistica Visual Basic
          • Can I customize the toolbars and menus via SVB?
          • How can I create a cell-function spreadsheet using spreadsheet events?
          • What are application events and how can they be controlled from SVB?
      • Advanced
        • SVBProgramingEnvironment
          • Defining Class Modules and Object Modules
          • Calling Functions in External DLLs
          • Limitations and Differences between SVB and Visual Basic in Other Applications
          • The Variant Data Type
          • Collections vs. Arrays
          • Statistica Visual Basic (SVB) Programming Environment
          • A Simple Message Box, and If..Then..End If Block
          • Global Variables, Passing Arguments By Value (ByVal) or By Reference (ByRef)
          • Objects, Methods, and Properties
          • Performing Computations, Data Types, Subroutines, Functions
        • SVBObjectModel
          • The STATISTICA VB Object Model
          • A Simple Statistica Visual BASIC (SVB) Program
          • Macro (SVB) Programs Example - Retrieving a Collection of Spreadsheets
          • Macro (SVB) Programs Example - Accessing Results Spreadsheet Data
        • RecordingSimpleMacroPrograms
          • Example - Recording a Simple Macro with Modal Dialog Specifications
          • Example - Recording an Analysis Macro
          • Example - Recording a Simple Macro
          • Recording Simple Macro (SVB) Programs, Documenting an Analysis
          • Common Elements of Recorded Macro (SVB) Programs
          • Recording Macros - Automatic Programming
          • Recording Case Selection Conditions and Case Weights
          • Recording Analysis Output
          • Recording Data Editing Operations
          • Recording Data File Selections
          • Master Macros
        • EditingCustomizingSVB
          • Debugging a Macro Program
          • General Help Features of the Statistica VB Environment
          • Error Handling
          • Macro (SVB) Programs Example - Customizing a Simple Descriptive Statistics Macro
          • Macro (SVB) Programs Example - Statistica Dialog Box for Selecting Data Files
          • Macro (SVB) Programs Example - Statistica Dialog Boxes for Selecting Variables
          • Using Arrays of Values to Set the .Variables Property
          • Editing and Customizing Recorded Macro (SVB) Programs
          • Non-Fatal Errors (Warnings) that Occur
        • STATISTICALibrariesandModules
          • Accessing Statistica Visual Basic Libraries
          • Macro (SVB) Programs Example - Accessing Multiple Modules in a Single Program
          • Statistica Libraries and Modules
        • BasicFunctionsforEditingObjects
          • Macro (SVB) Programs Example - Creating a Custom Spreadsheet
          • Macro (SVB) Programs Example - Copying Cells from a Spreadsheet into a Report
          • Macro (SVB) Programs Example - Customizing Workbooks
          • Macro (SVB) Programs Example - Customizing Graphs
          • Macro (SVB) Programs Example - Customizing Reports
          • Macro (SVB) Programs Example - Formatting Cells in Spreadsheets
          • Basic Functions for Editing Objects (Spreadsheets, Graphs, etc.)
        • CustomDialogs
          • Custom Dialog Boxes; Custom User Interfaces
          • A Simple Dialog Box in Statistica Visual Basic
          • Servicing Option Buttons, Options Buttons, List Boxes, etc.
          • Macro (SVB) Programs Example - Writing a Custom Statistica Application with User-Defined Dialog Boxes
          • Servicing Complex Dialog Boxes via Dialog Functions (DialogFunc)
        • OpeningNewApplications
          • Macro (SVB) Programs Example - Printing Statistica Documents
          • Macro (SVB) Programs Example - Opening and Saving Statistica Documents
          • Macro (SVB) Programs Example - Launching a New Statistica Application
          • Opening New Applications, Opening Files, Printing
        • CustomizingToolbarsMenus
          • Macro (SVB) Programs Example - Customizing Toolbars and Menus via Statistica Visual Basic
          • Macro (SVB) Programs Example - Adding a Custom Toolbar via a SVB Macro Program
        • CallingSTATISTICAinOtherApplications
          • Calling Statistica from Visual Basic in Other Applications (Excel, Word, etc.)
          • Macro (SVB) Programs Example - Accessing Statistica Visual Basic Functions from Microsoft Excel
          • Macro (SVB) Programs Example - Accessing Statistica Visual Basic Functions from Microsoft Word
        • Events
          • Report Document-Level Events
          • Macro Event Behavior
          • Spreadsheet Document-Level Events
          • Document-Level Events Example
          • Document Events
          • Workbook Document-Level Events
          • Graph Document-Level Events
          • Controlling Statistica Events with SVB Programs
          • Application-Level Events Example
          • Analysis-Level Events Example
          • Application-Level Events
    • Batch (ByGroup) Analysis
      • Descriptive Statistics
        • Correlation Matrices
        • t-Test, Independent, by Groups
        • t-Test for Independent Samples, by Variables
        • t-Test, Dependent Samples
        • t-Test, Single Sample
        • Frequency Tables
        • Breakdown and One-Way ANOVA
        • Breakdown Non-Factorial Tables
        • Crosstabulation Tables
        • Stub and Banner Tables
      • Standard Multiple Regression
        • Stepwise Multiple Regression
      • Main Effects ANOVA
        • Factorial ANOVA
        • Repeated Measures ANOVA
      • Observed vs. Expected Chi-Square
        • Correlations (Spearman, Kendall Tau, Gamma)
        • Comparing Two Independent Samples (Groups)
        • Comparing Multiple Indep. Samples (Groups)
        • Comparing Two Dependent Samples (Variables)
        • Comparing Multiple Dep. Samples (Variables)
      • Distribution Fitting
      • Advanced Linear and Nonlinear Models
        • General Linear Models
          • Main Effects Linear Models
          • Factorial ANCOVA MANCOVA Models
          • Repeated Measure Models
          • Response Surface and Mixture Models
        • Stepwise and Best Subset Probit Regression
          • Stepwise and Best Subset Logit Regression
          • Generalized Linear Models
        • Best-Subset and Stepwise Regression
          • Best-Subset and Stepwise ANCOVA
          • General Best-Subset and Stepwise Regression
        • PLS Regression Models
          • General PLS Models
        • NIPALS Algorithms Deployment
          • NIPALS Algorithm for PCA
          • NIPALS Algorithm for PLS
        • Variance Components
        • Life Tables and Distributions
          • Kaplan-Meier Product-Limit Method
          • Comparing Survival in Two Groups
          • Comparing Survival in Multiple Groups
          • Regression Models
        • Quick Logit Regression
          • Quick Probit Regression
          • User Specified Regression, Least Squares
          • User Specified Regression and Loss Function
        • Log-Linear Analysis
        • Time Series Plots
          • Single-Series Transformations (x=f(x))
          • Two-Series Transformation (x=f(x,y))
          • Differencing, Time Series Transformations
          • Smoothing Transformations
          • Simple Fourier-Type Transformations
          • Autocorrelations and Crosscorrelations
          • Distributed Lags Analysis
          • Exponential Smoothing
          • ARIMA Models
          • Interrupted ARIMA
          • Single Series Spectral (Fourier) Analysis
          • Two Series Spectral (Fourier) Analysis
          • Seasonal Decomposition (Census I)
          • X11/Y2K Census Method II Monthly
          • X11/Y2K Census Method II Quarterly
      • Multivariate Exploratory Techniques
        • Cluster Analysis
          • K-Means Clustering
          • Tree Clustering (Joining)
          • Two-Way Joining Clustering
        • Factor Analysis
        • Principal Components and Classification Analysis
        • Canonical Analysis
        • Reliability and Item Analysis
        • Classification from Ordered Predictors
          • Classification from Categorical and Ordered Predictors
          • Exhaustive (C and RT) Search for Univariate Splits
        • Correspondence Analysis (CA)
          • Multiple Correspondence Analysis (MCA)
        • Multidimensional Scaling
        • Standard Discriminant Analysis
          • Stepwise Discriminant Analysis
        • Best-Subset and Stepwise GDA ANCOVA
          • General Best-Subset and Stepwise Discriminant Analysis
      • Industrial Statistics and Six Sigma
        • Quality Control Charts
          • X and MR Chart for Variables, SixGraph Summary
          • X-Bar and R or S Chart for Variables, SixGraph summary
          • MA X-Bar and R or S Chart for Variables
          • EWMA X-Bar and R or S Chart for Variables
          • Attribute Charts (C, U, Np, p)
          • CuSum Chart for Observations
          • Pareto Chart
          • Multiple Stream Process (MSP) X-Bar and R or S Group Control Chart (GCC)
          • Multiple Stream Process (MSP) X and MR Chart for Variables
          • Multiple Stream Process (MSP) Attribute Charts (C, U, Np, p)
          • Hotelling T-Square Control Chart (HTS)
        • Process Capability Analysis
          • Generate Gage R and R Design
          • Analyze Gage R and R Experiments
          • Sampling Plans
          • Weibull and Reliability/Failure Time Analysis
          • Weibull Probability Paper
          • Cause-Effect (Ishikawa, Fishbone) Diagrams
        • Experimental Design (DOE)
          • D- and A- (T-) Optimal Algorithmic Design Creation
          • Analysis of 2**(K-p) and Screening Designs
          • Analysis of Mixed 2 and 3 Level Designs
          • Analysis of 3**(K-p) and Box-Behnken Designs
          • Analysis of Central Composite Designs
          • Analysis of Latin Square Designs
          • Analysis of Taguchi Robust Designs
          • Analysis of Mixture Designs
      • Variance Estimation and Precision
      • Graphs
        • 2D Graphs
          • 2D Histograms
          • 2D Scatterplots
          • 2D Means with Error Plots
          • 2D Box Plots
          • 2D Variability Plots
          • 2D Range Plots
          • 2D Scatter Icon Plots
          • 2D Scatterplots with Histograms
          • 2D Scatterplots with Box Plots
          • 2D Normal Probability Plots
          • 2D Quantile-Quantile Plots
          • 2D Probability-Probability Plots
          • 2D Bar Column Plots
          • 2D Line Plots (Variables)
          • 2D Line Plots (Case Profiles)
          • 2D Sequential Stacked Plots
          • 2D Pie Charts
          • 2D Missing and Range Data Plots
        • 3D Sequential Graphs
          • Raw Data Plot
          • Bivariate Histograms
          • 3D Range Plots
          • 3D Box Plot
        • 3D XYZ Graphs
          • Scatterplots
          • 3D Surface Plots
          • 3D Contour Plots
          • 3D Ternary Plots
          • 3D Categorized XYZ Plots
          • Categorized 3D Ternary Plots
          • Categorized Means with Error Bars Plots
          • Categorized Box Plots
          • Categorized Normal Probability Plots
          • Categorized Quantile-Quantile Plots
          • Categorized Probability-Probability Plots
          • Categorized 2D Line Plots (Variables)
          • Categorized Pie Charts
          • Categorized 3D Ternary Plots
          • 3D Categorized XYZ Plots
          • Categorized Missing/Range Data Plots
        • Matrix Plots
        • 2D Icon Plots
        • Categorized Graphs
          • Categorized Histograms
          • Categorized 2D Scatterplots
          • Categorized Means with Error Bars Plots
          • Categorized Box Plots
          • Categorized Normal Probability Plots
          • Categorized Quantile-Quantile Plots
          • Categorized Probability-Probability Plots
          • Categorized 2D Line Plots (Variables)
          • Categorized Pie Charts
          • Categorized 3D Ternary Plots
          • 3D Categorized XYZ Plots
          • Categorized Missing/Range Data Plots
  • Workspace Nodes
    • Alarm Trigger Workspace Node Example
    • Node Customizations
    • Publish Protected Workspaces
    • Workspace Node User and Designer Views
    • Alternating Least Squares Method
      • Alternating Least Squares Deployment
    • Big Data Analytics Workspace Nodes
      • App Market
        • Algorithmia Node
        • Apervita Node
      • Azure Machine Learning Workspace Node
        • Workspace Node: Azure Machine Learning: Quick Tab and Azure Settings Tab
      • Big Data Analytics Model Execution Workspace Node
        • Workspace Node: Big Data Analytics Model Execution - Specifications - Select Model Tab
        • Workspace Node: Big Data Analytics Model Execution - Specifications - Run Model Tab
        • Workspace Node: Big Data Analytics Model Execution - Results - Quick Tab
        • Import Delimited Text Files
        • Workspace Node: Home Tab
      • Hadoop Nodes
        • Statistica H2O Nodes
        • Spark Scala Nodes
      • HDFS Export-Import Text Workspace Node
        • Workspace Node: HDFS Export Text - Specifications Tab
        • Workspace Node: Home Tab
        • Import Delimited Text Files
        • HDFS Import Text Node Example
      • In-Database Analytics Workspace Nodes
        • In Database Analytics: Overview
        • In Database Correlation Matrices  Specifications: Quick Tab
          • In Database Correlation Matrices: Specifications Options Tab
        • In Database Enterprise Data Configuration: Specifications Tab
          • Workspace Node: Home Tab
        • Workspace Node: Descriptive Statistics - Results - Advanced Tab / In-Database Descriptive Statistics - Specifications - Advanced Tab
          • Import Delimited Text Files
        • In Database Filter Duplicate Cases: Specifications Tab
        • In Database Logistic Regression:  Specifications  Quick Tab
          • In Database Logistic Regression: Specifications Advanced Tab
        • In Database Multiple Regression:  Specifications Quick Tab
          • In Database Multiple Regression: Specifications Advanced Tab
        • WS Node - Random Sample Filtering - Specifications Tab / In-Database Random Sample Filtering - Specifications Tab
        • In Database Sort: Specifications Tab
          • In Database Sort:  Downstream Tab
        • Write to Database: Specifications Tab
          • In Database Write to Database: Downstream Tab
    • Data Mining Workspace Nodes
      • Clustering/Grouping Workspace Nodes
        • Workspace Node: Generalized Cluster Analysis - Specifications - Quick Tab
          • Workspace Node: Generalized Cluster Analysis - Specifications - Options Tab
          • Workspace Node: Generalized Cluster Analysis - Specifications - Validation Tab
          • Workspace Node: Generalized Cluster Analysis - Results - Quick Tab
          • Workspace Node: Generalized Cluster Analysis - Results - Advanced Tab
          • Workspace Node: Code Generator Tab
          • Workspace Node: Downstream Tab
          • Workspace Node: Home Tab
      • Deployment Workspace Nodes
        • Goodness of Fit Workspace Node
          • Workspace Node: Goodness of Fit - Specifications - Quick Tab
          • Workspace Node: Goodness of Fit - Specifications - Advanced Tab
          • Workspace Node: Goodness of Fit - Results - Quick Tab
          • Workspace Node: Goodness of Fit - Results - Advanced Tab
          • Workspace Node: Downstream Tab
          • Workspace Node: Home Tab
        • PMML Model Workspace Node
          • Workspace Node: Deployment Using PMML - Details Tab
          • Workspace Node: Deployment Using PMML - PMML Tab
          • Workspace Node: Home Tab
        • Model Comparison Node
        • Rapid Deployment Workspace Node
          • WS Node - Rapid Deployment - Specifications - Quick Tab
          • WS Node - Rapid Deployment - Specifications - Lift Chart Tab
          • WS Node - Rapid Deployment - Specifications - Profit Chart/ROC Curve Tab
          • WS Node - Rapid Deployment - Specifications - Confusion Matrix Tab
        • Workspace Node: Rules - Specifications Tab
        • Write Spreadsheet to Database - Configuration
          • Write Spreadsheet to Database - Advanced Settings
      • Learning Workspace Nodes
        • Machine Learning Workspace Nodes
          • Workspace Node: K-Nearest Neighbors - Specifications - Quick Tab
            • Workspace Node: K-Nearest Neighbors - Specifications - Sampling Tab
            • Workspace Node: K-Nearest Neighbors - Specifications - Options Tab
            • Workspace Node: K-Nearest Neighbors - Specifications - Cross-Validation Tab
            • Workspace Node: K-Nearest Neighbors - Specifications - Memory Usage Tab
            • Workspace Node: K-Nearest Neighbors - Results - Quick Tab
            • Workspace Node: K-Nearest Neighbors - Results - Plots Tab
            • Workspace Node: Code Generator Tab
          • Workspace Node: Naive Bayes Classifiers - Specifications - Quick Tab
            • Workspace Node: Naive Bayes Classifiers - Specifications - Sampling Tab
            • Workspace Node: Naive Bayes Classifiers - Specifications - Distribution Tab
            • Workspace Node: Naive Bayes Classifiers - Specifications - Memory Usage Tab
            • Workspace Node: Naive Bayes Classifiers - Results - Quick Tab
            • Workspace Node: Naive Bayes Classifiers - Results - Plots Tab
            • Workspace Node: Naive Bayes Classifiers - Results - Prior Tab
            • Workspace Node: Naive Bayes Classifiers - Results - Posterior Tab
          • Workspace Node: Support Vector Machines - Specifications - Quick Tab
            • Workspace Node: Support Vector Machines - Specifications - Sampling Tab
            • Workspace Node: Support Vector Machines - Specifications - SVM Tab
            • Workspace Node: Support Vector Machines - Specifications - Kernels Tab
            • Workspace Node: Support Vector Machines - Specifications - Cross-Validation Tab
            • Workspace Node: Support Vector Machines - Specifications - Training Tab
            • Workspace Node: Support Vector Machines - Results - Quick Tab
            • Workspace Node: Support Vector Machines - Results - Plots Tab
        • Neural Networks Workspace Nodes
          • SANN Classification Workspace Node
            • Workspace Node: SANN Classification - Specifications - Quick Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Specifications - Sampling (CNN and ANS) Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - Subsampling Tab
            • Workspace Node: SANN Classification/Time Series Classification - Specifications - Quick Specification Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - MLP Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - MLP Activation Functions Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - Weight Decay Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Specifications - Initialization Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Results - Samples Tab
            • Workspace Node: SANN Classification/Time Series Classification - Results - Predictions Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Results - Graphs Tab
            • Workspace Node: SANN Classification/Time Series Classification - Results - Details Tab
            • Workspace Node: SANN Classification/Time Series Classification - Results - Liftcharts Tab
          • SANN Regression Workspace Node
            • Workspace Node: SANN Regression - Specifications - Quick Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Specifications - Sampling (CNN and ANS) Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - Subsampling Tab
            • Workspace Node: SANN Regression/Time Series Regression - Specifications - Quick Specification Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - MLP Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - MLP Activation Functions Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - Weight Decay Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Specifications - Initialization Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Results - Samples Tab
            • Workspace Node: SANN Regression/Time Series Regression - Results - Predictions Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Results - Graphs Tab
            • Workspace Node: SANN Regression/Time Series Regression - Results - Details Tab
          • SANN Clustering Workspace Node
            • Workspace Node: SANN Clustering - Specifications - Quick Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Specifications - Sampling (CNN and ANS) Tab
            • Workspace Node: SANN Clustering - Specifications - Quick (Kohonen) Tab
            • Workspace Node: SANN Clustering - Specifications - Kohonen Training Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Specifications - Initialization Tab
            • Workspace Node: SANN Clustering - Results - Samples Tab
            • Workspace Node: SANN Clustering - Results - Predictions (Kohonen) Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Results - Graphs Tab
            • Workspace Node: SANN Clustering - Results - Kohonen Network Tab
          • SANN Time Series (Classification) Workspace Node
            • Workspace Node: SANN Time Series (Classification) - Specifications - Quick Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Specifications - Sampling (CNN and ANS) Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - Subsampling Tab
            • Workspace Node: SANN Time Series (Regression/Classification) - Specifications - Time Series Tab
            • Workspace Node: SANN Classification/Time Series Classification - Specifications - Quick Specification Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - MLP Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - MLP Activation Functions Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - Weight Decay Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Specifications - Initialization Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Results - Samples Tab
            • Workspace Node: SANN Classification/Time Series Classification - Results - Predictions Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Results - Graphs Tab
            • Workspace Node: SANN Classification/Time Series Classification - Results - Details Tab
            • Workspace Node: SANN Classification/Time Series Classification - Results - Liftcharts Tab
            • Workspace Node: SANN Time Series (Regression/Classification) - Results - Time Series Tab
          • SANN Time Series (Regression) Workspace Node
            • Workspace Node: SANN Time Series (Regression) - Specifications - Quick Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Specifications - Sampling (CNN and ANS) Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - Subsampling Tab
            • Workspace Node: SANN Time Series (Regression/Classification) - Specifications - Time Series Tab
            • Workspace Node: SANN Regression/Time Series Regression - Specifications - Quick Specification Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - MLP Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - MLP Activation Functions Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Specifications - Weight Decay Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Specifications - Initialization Tab
            • Workspace Node: SANN Regression/Classification/Time Series - Results - Samples Tab
            • Workspace Node: SANN Regression/Time Series Regression - Results - Predictions Tab
            • Workspace Node: SANN Regression/Classification/Time Series/Clustering - Results - Graphs Tab
            • Workspace Node: SANN Regression/Time Series Regression - Results - Details Tab
            • Workspace Node: SANN Time Series (Regression/Classification) - Results - Time Series Tab
      • Text Mining Workspace Node
        • Workspace Node: Word Cloud Generator
        • Workspace Node: Text Mining - Specifications - Quick Tab
        • Workspace Node: Text Mining - Specifications - Advanced Tab
        • Workspace Node: Text Mining - Specifications - Words Tab
        • Workspace Node: Text Mining - Specifications - Projects Tab
        • Workspace Node: Text Mining - Specifications - Filters Tab
        • Workspace Node: Text Mining - Specifications - Characters Tab
        • Workspace Node: Text Mining - Specifications - Delimiters Tab
        • Workspace Node: Text Mining - Results - Frequency Measure Tab
        • Workspace Node: Text Mining - Results - Summary Tab
        • Workspace Node: Text Mining - Results - Concept Extraction Tab
        • Workspace Node: Text Mining - Results - Search Tab
      • Tools Workspace Nodes
        • Workspace Node: Predictor Screening - Specifications - Quick Tab
        • Workspace Node: Predictor Screening - Specifications - Advanced Tab
      • Trees/Partitioning Workspace Nodes
        • Boosted Trees Workspace Nodes
          • Boosted Classification Trees Workspace Node
            • Workspace Node: Boosted Classification Trees - Specifications - Quick Tab
            • Workspace Node: Boosted Classification Trees - Specifications - Classification Tab
            • Workspace Node: Boosted Classification Trees - Specifications - Advanced Tab
            • Workspace Node: Boosted Classification Trees - Results - Quick Tab
            • Workspace Node: Boosted Classification Trees - Results - Classification Tab
            • Workspace Node: Boosted Classification Trees - Results - Prediction Tab
          • Boosted Regression Trees Workspace Node
            • Workspace Node: Boosted Regression Trees - Specifications - Quick Tab
            • Workspace Node: Boosted Regression Trees - Specifications - Advanced Tab
            • Workspace Node: Boosted Regression Trees - Results - Quick Tab
            • Workspace Node: Boosted Regression Trees - Results - Prediction Tab
        • I-Trees Workspace Nodes
          • Advanced Classification CHAID Workspace Node
            • Workspace Node: Advanced Classification CHAID - Specifications - Quick Tab
            • Workspace Node: Advanced Classification CHAID - Specifications - Classification Tab
            • Workspace Node: Advanced Classification CHAID - Specifications - Stopping Tab
            • Workspace Node: Advanced Classification CHAID - Specifications - Validation Tab
            • Workspace Node: Advanced Classification CHAID - Specifications - Advanced Tab
            • Workspace Node: Advanced Classification CHAID - Results - Quick Tab
            • Workspace Node: Advanced Classification CHAID - Results - Classification Tab
            • Workspace Node: Advanced Classification CHAID - Results - Prediction Tab
          • Advanced Regression CHAID Workspace Node
            • Workspace Node: Advanced Regression CHAID - Specifications - Quick Tab
            • Workspace Node: Advanced Regression CHAID - Specifications - Stopping Tab
            • Workspace Node: Advanced Regression CHAID - Specifications - Validation Tab
            • Workspace Node: Advanced Regression CHAID - Specifications - Advanced Tab
            • Workspace Node: Advanced Regression CHAID - Results - Quick Tab
            • Workspace Node: Advanced Regression CHAID - Results - Prediction Tab
          • Advanced Classification Trees (CRT) Workspace Node
            • Workspace Node: C&RT Classification - Specifications - Quick Tab
            • Workspace Node: C&RT Classification - Specifications - Classification Tab
            • Workspace Node: C&RT Classification - Specifications - Stopping Tab
            • Workspace Node: C&RT Classification - Specifications - Validation Tab
            • Workspace Node: C&RT Classification - Specifications - Advanced Tab
            • Workspace Node: C&RT Classification - Results - Quick Tab
            • Workspace Node: C&RT Classification - Results - Classification Tab
            • Workspace Node: C&RT Classification - Results - Prediction Tab
          • Advanced Regression Trees (CRT) Workspace Node
            • Workspace Node: C&RT Regression - Specifications - Quick Tab
            • Workspace Node: C&RT Regression - Specifications - Stopping Tab
            • Workspace Node: C&RT Regression - Specifications - Validation Tab
            • Workspace Node: C&RT Regression - Specifications - Advanced Tab
            • Workspace Node: C&RT Regression - Results - Quick Tab
            • Workspace Node: C&RT Regression - Results - Prediction Tab
        • MARSplines Workspace Node
          • Workspace Node: MARSplines - Specifications - Quick Tab
          • Workspace Node: MARSplines - Specifications - Options Tab
          • Workspace Node: MARSplines - Results - Quick Tab
          • Workspace Node: MARSplines - Results - Graphs Tab
        • Random Forest Workspace Nodes
          • Random Forest Classification Workspace Node
            • Workspace Node: Random Forest Classification - Specifications - Quick Tab
            • Workspace Node: Random Forest Classification - Specifications - Classification Tab
            • Workspace Node: Random Forest Classification - Specifications - Advanced Tab
            • Workspace Node: Random Forest Classification - Specifications - Stopping Condition Tab
            • Workspace Node: Random Forest Classification - Results - Quick Tab
            • Workspace Node: Random Forest Classification - Results - Classification Tab
            • Workspace Node: Random Forest Classification - Results - Prediction Tab
          • Random Forest Regression Workspace Node
            • Workspace Node: Random Forest Regression - Specifications - Quick Tab
            • Workspace Node: Random Forest Regression - Specifications - Advanced Tab
            • Workspace Node: Random Forest Regression - Specifications - Stopping Condition Tab
            • Workspace Node: Random Forest Regression - Results - Quick Tab
            • Workspace Node: Random Forest Regression - Results - Prediction Tab
    • Data Tab Workspace Nodes
      • Data Health Check Summary Workspace Node
        • Workspace Node: Data Health Check Summary - Specifications - Quick Tab
        • Workspace Node: Data Health Check Summary - Specifications - Sparse Data Tab
        • Workspace Node: Data Health Check Summary - Specifications - Outliers Tab
        • Workspace Node: Data Health Check Summary - Specifications - Invariant Variables Tab
        • Workspace Node: Data Health Check Summary - Specifications - Redundancy Tab
        • Workspace Node: Data Health Check Summary - Specifications - Options Tab
        • Workspace Node: Data Health Check Summary - Results Tab
        • Workspace Node: Home Tab
      • Filter/Recode Workspace Nodes
        • Workspace Node: Filter Duplicate Cases - Specifications Tab
          • Workspace Node: Home Tab
        • Workspace Node: Filter Sparse Data - Specifications Tab
        • Workspace Node: Missing Data Imputation - Specifications Tab
        • Workspace Node: Process Invariant Variables - Specifications Tab
        • Workspace Node: Process Missing Data - Specifications Tab
        • Workspace Node: Recode Outliers - Specifications Tab
      • Get External Data Workspace Nodes
        • Workspace Node: Enterprise Data Configuration - Specifications Tab
          • Workspace Node: Home Tab
      • Workspace Node: Import Excel - Specifications Tab
      • Merge Workspace Node
        • Workspace Node: Cartesian Variables - Specifications Tab
          • Workspace Node: Home Tab
        • Workspace Node: Concatenate Variables - Specifications Tab
        • Workspace Node: Match Cases - Specifications Tab
        • Workspace Node: Merge Cases - Specifications Tab
        • Workspace Node: Merge Text Labels - Specifications Tab
        • Workspace Node: Merge Variables - Specifications Tab
      • Workspace Node: Query Spreadsheets - Specifications Tab
      • Workspace Node: Rank - Specifications Tab
      • Workspace Node: Recode Variable - Specifications Tab
      • Workspace Node: Rules - Specifications Tab
      • Sampling Workspace Node
        • WS Node - Define Training Testing Sample - Specifications Tab
        • WS Node - Random Sample Filtering - Specifications Tab / In-Database Random Sample Filtering - Specifications Tab
      • Select Dependent Variables and Predictors - Quick Tab
        • Select Dependent Variables and Predictors - Advanced Tab
      • Workspace Node: Sort - Specifications Tab
      • Workspace Node: Stacking - Specifications Tab
      • Workspace Node: Subset - Specifications Tab
      • Workspace Node: Transformations of Variables - Specifications Tab
      • Workspace Node: Unstacking - Specifications Tab
    • Deep Learning Overview
      • Deep Learning Dialog box
    • Graphs Workspace Nodes
      • 2D Workspace Nodes
        • 2D Bag Plots Workspace Node
          • Workspace Node: 2D Bag Plots - Quick Tab
          • Workspace Node: 2D Bag Plots - Advanced Tab
          • Workspace Node: 2D Bar Column Plots - Appearance Tab
          • Workspace Node: Graphs - Categorized Tab
          • Workspace Node: Graphs - Options 1 Tab
          • Workspace Node: Graphs - Options 2 Tab
          • Workspace Node: Home Tab
        • 2D Bar/Column Plots Workspace Node
          • Workspace Node: 2D Bar Column Plots - Quick Tab
          • Workspace Node: 2D Bar Column Plots - Appearance Tab
        • 2D Box Plots Workspace Node
          • Workspace Node: 2D Box Plots - Quick Tab
          • Workspace Node: 2D Box Plots - Advanced Tab
          • Workspace Node: 2D Box Plots - Appearance Tab
          • Workspace Node: Graphs - Categorized Tab
        • 2D Histograms Workspace Node
          • Workspace Node: 2D Histograms - Quick Tab
          • Workspace Node: 2D Histograms - Advanced Tab
          • Workspace Node: 2D Histograms - Appearance Tab
          • Workspace Node: Graphs - Categorized Tab
        • 2D Line Plots (Case Profiles) Workspace Node
          • Workspace Node: 2D Line Plots (Case Profiles) - Quick Tab
          • Workspace Node: 2D Line Plots (Case Profiles) - Appearance Tab
        • 2D Line Plots (Variables) Workspace Node
          • Workspace Node: 2D Line Plots (Variables) - Quick Tab
          • Workspace Node: 2D Line Plots (Variables) - Appearance Tab
          • Workspace Node: Graphs - Categorized Tab
        • 2D Means with Error Plots Workspace Node
          • Workspace Node: 2D Means with Error Plots - Quick Tab
          • Workspace Node: 2D Means with Error Plots - Advanced Tab
          • Workspace Node: 2D Means with Error Plots - Appearance Tab
          • Workspace Node: Graphs - Categorized Tab
        • 2D Missing and Out-of-Range Data Plots Workspace Node
          • WS Node: 2D Missing and Out-of-Range Data Plots - Quick Tab
          • WS Node: 2D Missing and Out-of-Range Data Plots - Advanced Tab
          • WS Node: 2D Missing and Out-of-Range Data Plots - Appearance Tab
        • 2D Normal Probability Plots Workspace Tab
          • Workspace Node: 2D Normal Probability Plots - Quick Tab
          • Workspace Node: 2D Normal Probability Plots - Appearance Tab
        • 2D Pie Charts Workspace Node
          • Workspace Node: 2D Pie Charts - Quick Tab
          • Workspace Node: 2D Pie Charts - Advanced Tab
          • Workspace Node: 2D Pie Charts - Appearance Tab
        • 2D Probability-Probability Plots Workspace Node
          • Workspace Node: 2D Probability-Probability Plots - Quick Tab
          • Workspace Node: 2D Probability-Probability Plots - Advanced Tab
          • Workspace Node: 2D Probability-Probability Plots - Appearance Tab
        • 2D Quantile-Quantile Plots Workspace Node
          • Workspace Node: 2D Quantile-Quantile Plots - Quick Tab
          • Workspace Node: 2D Quantile-Quantile Plots - Advanced Tab
          • Workspace Node: 2D Quantile-Quantile Plots - Appearance Tab
        • 2D Range Plots Workspace Node
          • Workspace Node: 2D Range Plots - Quick Tab
          • Workspace Node: 2D Range Plots - Advanced Tab
          • Workspace Node: 2D Range Plots - Appearance Tab
        • 2D Scatter Icon Plots Workspace Node
          • Workspace Node: 2D Scatter Icon Plots - Quick Tab
          • Workspace Node: 2D Scatter Icon Plots - Appearance Tab
        • 2D Scatter Image Plots Workspace Node
          • Workspace Node: 2D Scatter Image Plots - Quick Tab
          • Workspace Node: 2D Scatter Image Plots - Appearance Tab
        • 2D Scatterplots Workspace Node
          • Workspace Node: 2D Scatterplots - Quick Tab
          • Workspace Node: 2D Scatterplots - Advanced Tab
          • Workspace Node: 2D Scatterplots - Appearance Tab
        • 2D Scatterplots with Box Plots Workspace Node
          • Workspace Node: 2D Scatterplots with Box Plots - Quick Tab
          • Workspace Node: 2D Scatterplots with Box Plots - Advanced Tab
          • Workspace Node: 2D Scatterplots with Box Plots - Appearance Tab
        • 2D Scatterplots with Error Bars Workspace Node
          • Workspace Node: 2D Scatterplots with Error Bars - Quick Tab
          • Workspace Node: 2D Scatterplots with Error Bars - Appearance Tab
        • 2D Scatterplots with Histograms Workspace Node
          • Workspace Node: 2D Scatterplots with Histograms - Quick Tab
          • Workspace Node: 2D Scatterplots with Histograms - Advanced Tab
          • Workspace Node: 2D Scatterplots with Histograms - Appearance Tab
        • 2D Sequential/Stacked Plots Workspace Node
          • Workspace Node: 2D Sequential/Stacked Plots - Quick Tab
          • Workspace Node: 2D Sequential/Stacked Plots - Appearance Tab
      • 3D Sequential Graphs Workspace Nodes
        • 3D Bivariate Histograms Workspace Node
          • Workspace Node: 3D Bivariate Histograms - Quick Tab
          • Workspace Node: 3D Bivariate Histograms - Advanced Tab
          • Workspace Node: 3D Bivariate Histograms - Appearance Tab
        • 3D Box Plots Workspace Node
          • Workspace Node: 3D Box Plots - Quick Tab
          • Workspace Node: 3D Box Plots - Advanced Tab
          • Workspace Node: 3D Box Plots - Appearance Tab
        • 3D Range Plots Workspace Node
          • Workspace Node: 3D Range Plots - Quick Tab
          • Workspace Node: 3D Range Plots - Appearance Tab
        • 3D Raw Data Plots Workspace Node
          • Workspace Node: 3D Raw Data Plots - Quick Tab
          • Workspace Node: 3D Raw Data Plots - Appearance Tab
      • 3D XYZ Graphs Workspace Nodes
        • 3D Contour Plots Workspace Node
          • Workspace Node: Graphs - Categorized Tab
          • Workspace Node: Graphs - Options 1 Tab
          • Workspace Node: Graphs - Options 2 Tab
          • Workspace Node: Home Tab
        • 3D Scatter Image Plots Workspace Node
          • Workspace Node: 3D Scatter Image Plots - Quick Tab
          • Workspace Node: 3D Scatter Image Plots - Appearance Tab
        • 3D Scatterplots Workspace Node
          • Workspace Node: 3D Scatterplots - Quick Tab
          • Workspace Node: 3D Scatterplots - Advanced Tab
          • Workspace Node: 3D Scatterplots - Appearance Tab
        • 3D Surface Plots Workspace Node
          • Workspace Node: 3D Surface Plots - Quick Tab
        • Categorized 3D Ternary Plots Workspace Node
          • Workspace Node: Categorized 3D Ternary Plots - Quick Tab
          • Workspace Node: Categorized 3D Ternary Plots - Advanced Tab
          • Workspace Node: Categorized 3D Ternary Plots - Appearance Tab
        • Categorized 3D XYZ Plots Workspace Node
          • Workspace Node: Categorized 3D XYZ Plots - Quick Tab
          • Workspace Node: Categorized 3D XYZ Plots - Advanced Tab
          • Workspace Node: Categorized 3D XYZ Plots - Appearance Tab
      • Icon Plots Workspace Node
        • Workspace Node: Icon Plots - Quick Tab
        • Workspace Node: Icon Plots - Appearance Tab
      • Matrix Plots Workspace Node
        • Workspace Node: Matrix Plots - Quick Tab
        • Workspace Node: Matrix Plots - Advanced Tab
        • Workspace Node: Matrix Plots - Appearance Tab
    • Publish Workspace Nodes
      • General Scripting Nodes - General Code Nodes
    • Stability Analysis Workspace Node
      • WS Node: Stability Analysis - General Tab
      • WS Node: Stability Analysis - Advanced Tab
      • WS Node: Stability Analysis - Specification Limits Tab
      • WS Node: Stability Analysis - Maximum No. of Time Points Tab
      • WS Node: Stability Analysis - Number of Decimal Places Tabs
    • Statistics Workspace Nodes
      • Advanced/Multivariate Workspace Nodes
        • Advanced Models Workspace Nodes
          • Cox Proportional Hazards Workspace Node
            • Workspace Node: Cox Proportional Hazards - Specifications - Quick Tab
            • Workspace Node: Cox Proportional Hazards - Specifications - Options Tab
            • Workspace Node: Cox Proportional Hazards - Specifications - Advanced Tab
            • Workspace Node: Cox Proportional Hazards - Results - Quick Tab
            • Workspace Node: Cox Proportional Hazards - Results - Survivor Function Tab
            • Workspace Node: Cox Proportional Hazards - Results - Plots Tab
            • Workspace Node: Code Generator Tab
            • Workspace Node: Downstream Tab
            • Workspace Node: Home Tab
          • GLM Custom Design Workspace Node
            • Workspace Node: GLM Custom Design - Specifications - Quick Tab
            • Workspace Node: GLM Custom Design - Specifications - Options Tab
            • Workspace Node: GLM Custom Design - Results - Summary Tab
            • Workspace Node: GLM Custom Design - Results - Means Tab
            • Workspace Node: GLM Custom Design - Results - Planned Comps Tab
            • Workspace Node: GLM Custom Design - Results - Post-hoc Tab
            • Workspace Node: GLM Custom Design - Results - Assumptions Tab
            • Workspace Node: GLM Custom Design - Results - Profiler Tab
            • Workspace Node: GLM Custom Design - Results - Custom Tests Tab
            • Workspace Node: GLM Custom Design - Results - Residuals 1 Tab
            • Workspace Node: GLM Custom Design - Results - Residuals 2 Tab
            • Workspace Node: GLM Custom Design - Results - Matrix Tab
            • Workspace Node: GLM Custom Design - Results - Report Tab
          • GLZ Custom Design Workspace Node
            • Workspace Node: GLZ Custom Design - Specifications - Quick Tab
            • Workspace Node: GLZ Custom Design - Specifications - Model Specification Tab
            • Workspace Node: GLZ Custom Design - Specifications - Advanced Tab
            • Workspace Node: GLZ Custom Design - Results - Summary Tab
            • Workspace Node: GLZ Custom Design - Results - Residuals 1 Tab
            • Workspace Node: GLZ Custom Design - Results - Residuals 2 Tab
            • Workspace Node: GLZ Custom Design - Results - Means Tab
            • Workspace Node: Code Generator Tab
          • Nonlinear Estimation Workspace Node
            • Workspace Node: Nonlinear Estimation - Specifications - Regression Specification Tab
            • Workspace Node: Nonlinear Estimation - Specifications - Quick Tab
            • Workspace Node: Nonlinear Estimation - Specifications - Advanced Tab
            • Workspace Node: Nonlinear Estimation - Results - Quick Tab
            • Workspace Node: Nonlinear Estimation - Results - Advanced Tab
            • Workspace Node: Nonlinear Estimation - Results - Residuals Tab
            • Workspace Node: Nonlinear Estimation - Results - Review Tab
        • MultExploratory Workspace Nodes
          • Cluster Workspace Nodes
            • K-Means Clustering Workspace Node
              • Workspace Node: K-Means Clustering - Specifications - Quick Tab
              • Workspace Node: K-Means Clustering - Specifications - Advanced Tab
              • Workspace Node: K-Means Clustering - Results - Quick Tab
              • Workspace Node: K-Means Clustering - Results - Advanced Tab
              • Workspace Node: Downstream Tab
              • Workspace Node: Home Tab
            • Tree Clustering (Joining) Workspace Node
              • Workspace Node: Tree Clustering (Joining) - Specifications - Quick Tab
              • Workspace Node: Tree Clustering (Joining) - Specifications - Advanced Tab
              • Workspace Node: Tree Clustering (Joining) - Results - Quick Tab
              • Workspace Node: Tree Clustering (Joining) - Results - Advanced Tab
            • Two-Way Joining Clustering Workspace Node
              • Workspace Node: Two-Way Joining Clustering - Specifications - Quick Tab
              • Workspace Node: Two-Way Joining Clustering - Results - Quick Tab
          • Principal Components And Classification Analysis
            • Workspace Node: Principal Components and Classification Analysis - Specifications - Quick Tab
            • Workspace Node: Principal Components and Classification Analysis - Results - Quick Tab
            • Workspace Node: Principal Components and Classification Analysis - Results - Variables Tab
            • Workspace Node: Principal Components and Classification Analysis - Results - Cases Tab
            • Workspace Node: Principal Components and Classification Analysis - Results - Descriptives Tab
      • Basic Statistics Workspace Nodes
        • Breakdown and One-Way ANOVA Individual Tables Workspace Node
          • Workspace Node: Breakdown and One-Way ANOVA Individual Tables - Specifications - Quick Tab
          • Workspace Node: Breakdown and One-Way ANOVA Individual Tables - Results - Quick Tab
          • Workspace Node: Breakdown and One-Way ANOVA Individual Tables - Results - Descriptives Tab
          • Workspace Node: Breakdown and One-Way ANOVA Individual Tables - Results - ANOVA & Tests Tab
          • Workspace Node: Breakdown and One-Way ANOVA Individual Tables - Results - Correlations Tab
          • Workspace Node: Breakdown and One-Way ANOVA Individual Tables - Results - Post-hoc Tab
        • Breakdown Non-Factorial Tables Workspace Node
          • Workspace Node: Breakdown Non-Factorial Tables - Specifications - Quick Tab
          • Workspace Node: Breakdown Non-Factorial Tables - Results - Descriptives Tab
          • Workspace Node: Breakdown Non-Factorial Tables - Results - Robust Tab
        • Correlation Matrices Workspace Node
          • In Database Correlation Matrices  Specifications: Quick Tab
          • Workspace Node: Correlation Matrices - Results - Quick Tab
          • Workspace Node: Correlation Matrices - Results - Advanced Tab
          • Workspace Node: Correlation Matrices - Results - Options Tab
          • Workspace Node: Correlation Matrices - Results - Color Maps Tab
          • In Database Correlation Matrices: Specifications Options Tab
        • Crosstabulation Tables Workspace Node
          • Workspace Node: Crosstabulation Tables - Specifications - Quick Tab
          • Workspace Node: Crosstabulation Tables - Results - Quick Tab
          • Workspace Node: Crosstabulation Tables - Results - Advanced Tab
          • Workspace Node: Crosstabulation Tables - Results - Options Tab
        • Descriptive Statistics Workspace Node
          • Workspace Node: Descriptive Statistics - Specifications - Quick Tab
          • Workspace Node: Descriptive Statistics - Results - Quick Tab
          • Workspace Node: Descriptive Statistics - Results - Advanced Tab / In-Database Descriptive Statistics - Specifications - Advanced Tab
          • Workspace Node: Descriptive Statistics - Results - Robust Tab
          • Workspace Node: Descriptive Statistics - Results - Normality Tab
          • Workspace Node: Descriptive Statistics - Results - Prob. & Scatterplots Tab
          • Workspace Node: Descriptive Statistics - Results - Categ. Plots Tab
          • Workspace Node: Descriptive Statistics - Results - Options Tab
        • Frequency Tables Workspace Node
          • Workspace Node: Frequency Tables - Specifications - Quick Tab
          • Workspace Node: Frequency Tables - Results - Quick Tab
          • Workspace Node: Frequency Tables - Results - Advanced Tab
          • Workspace Node: Frequency Tables - Results - Options Tab
          • Workspace Node: Frequency Tables - Results - Descriptives Tab
          • Workspace Node: Frequency Tables - Results - Normality Tab
          • Workspace Node: Frequency Tables - Results - Box-Whisker Type Tab
        • Stub and Banner Tables Workspace Node
          • Workspace Node: Stub and Banner Tables - Specifications - Quick Tab
          • Workspace Node: Stub and Banner Tables - Results - Quick Tab
          • Workspace Node: Stub and Banner Tables - Results - Advanced Tab
          • Workspace Node: Stub and Banner Tables - Results - Options Tab
        • t-Test, Dependent Samples Workspace Node
          • Workspace Node: t-Test, Dependent Samples - Specifications - Quick Tab
          • Workspace Node: t-Test, Dependent Samples - Results - Quick Tab
          • Workspace Node: t-Test, Dependent Samples - Results - Advanced Tab
          • Workspace Node: t-Test, Dependent Samples - Results - Options Tab
        • t-Test, Independent, by Groups Workspace Node
          • Workspace Node: t-Test, Independent, by Groups - Specifications - Quick Tab
          • Workspace Node: t-Test, Independent, by Groups - Results - Quick Tab
          • Workspace Node: t-Test, Independent, by Groups - Results - Advanced Tab
          • Workspace Node: t-Test, Independent, by Groups - Results - Options Tab
        • t-Test, Independent Samples, by Variables Workspace Node
          • Workspace Node: t-Test, Independent Samples, by Variables - Specifications - Quick Tab
          • Workspace Node: t-Test, Independent Samples, by Variables - Results - Quick Tab
          • Workspace Node: t-Test, Independent Samples, by Variables - Results - Options Tab
        • t-Test, Single Sample Workspace Node
          • Workspace Node: t-Test, Single Sample - Specifications - Quick Tab
          • Workspace Node: t-Test, Single Sample - Results - Quick Tab
          • Workspace Node: t-Test, Single Sample - Results - Advanced Tab
          • Workspace Node: t-Test, Single Sample - Results - Options Tab
      • Industrial Statistics Workspace Nodes
        • SPC Charts - Alarm Management
        • SPC Chart - Chart 1
        • SPC Chart - Chart Options 1
        • SPC Charts - Chart 2
        • SPC Charts - Chart Option 2
        • SPC Charts - Chart Option 3
        • SPC Charts - Chart Option 4
        • SPC Charts - Chart Settings
        • SPC Charts - Custom Titles
        • SPC Charts - General Tab
        • SPC Charts - Graph Customization
        • SPC Charts - Run Rules
        • SPC Charts - Run Rules Types 1
        • SPC Charts - Run Rules Types 2
        • SPC Charts - Specification Limits
        • SPC Charts - Variance Chart Center Line
        • SPC Charts - Variance Chart Control Limits
        • SPC Charts - Variance Chart Warning Limits
        • SPC Charts - Vertical Delimiter
        • SPC Charts - X Chart Center/Sigma
        • SPC Charts - X Chart Control Limits
        • SPC Charts - X Chart Warning Limits
      • More Distributions Workspace Nodes
        • Design Simulation Workspace Node
          • Workspace Node: Design Simulation - Specifications - Quick Tab
          • Workspace Node: Home Tab
        • Fit Distributions Workspace Node
          • Workspace Node: Fit Distributions - Specifications - Quick Tab
          • Workspace Node: Fit Distributions - Specifications - Continuous Variables Tab
          • Workspace Node: Fit Distributions - Specifications - Discrete Variables Tab
          • Workspace Node: Fit Distributions - Specifications - Options Tab
          • Workspace Node: Fit Distributions - Results - Quick Tab
          • Workspace Node: Fit Distributions - Results - Save Fit Tab
        • Run Simulation Workspace Node
          • Workspace Node: Run Simulation - Specifications - Quick Tab
  • Working with Analysis Output
    • Five Channels for Output from Analyses
    • Global Output Options - Output Manager
    • Analysis/Graph Output Manager
    • Output Headers and Footers
    • Frequently Asked Questions
      • Can I add custom headers or footers to printed output?
      • How can I copy/print results summaries?
      • How do I access help for a specific dialog box?
      • How do I change the printer setup?
      • How do I print previously saved results?
      • How do I print spreadsheets?
      • How do I select items in the workbook tree?
      • How can I suppress the printing of gridlines in spreadsheets?
      • What are workbooks?
      • What output management options are available in Statistica?
  • Printing
    • Before You Print
    • Setting Basic Print Options - Spreadsheets, Reports, or Graphs
    • Setting Basic Print Options - Workbook
    • Using the Print Preview Window
    • Printing a Spreadsheet
    • Printing a Report
    • Printing a Workbook
  • Importing and Exporting
    • Importing Text
      • Importing File
      • Import Fixed Text Files
      • Import Delimited Text Files
      • Advanced Delimited Importing Options
      • Text Fixed Import Options
      • Text Free Import Options
      • Text Free Separators
      • Example: Text Import
    • Importing HTML
      • Opening HTML File
    • Importing Excel
      • Opening File
      • Select Excel Range for the Analysis
      • Open Excel Workbook
      • Select Sheet to Import
      • Open Excel File
      • Review/Edit Column Types
      • Change Import Column Type
    • Exporting Data
      • Exporting a Spreadsheet as Text in C++
      • How do I export a Statistica graph to another application?
      • How do I export data from Statistica to Excel and other foreign data files?
    • Opening Document Objects in Statistica
  • Working with Spreadsheets
    • UnderstandingSpreadsheets
      • Spreadsheet (Multimedia Table) Overview
      • Spreadsheet (Multimedia Table) Window Overview
      • Spreadsheet Formatting Options
      • Multiple Analysis Support
      • Unlimited Size of Spreadsheets
      • Global Spreadsheet Options
      • Range of Numeric Values that Can Be Entered or Stored in Cells
      • Matrix Spreadsheets
        • Matrix File Format
        • Types of Matrices
        • Multiple Correlation Matrices
      • Variable Data Types
        • Spreadsheet Display Formats
        • Custom Number Format Codes
    • Creating a New Spreadsheet
      • Adding Objects to a Spreadsheet
      • Dialog Boxes
        • Auto Format Cells
        • Custom Max Column Width
        • Extrapolate Values
        • Lock Spreadsheet
        • Select Variable
        • Sort Performance Warning
        • Spreadsheet Case Selection Conditions
        • Spreadsheet Audit Log Settings
        • Enter reason for change
        • Spreadsheet Audit Log Viewer
    • Using Spreadsheets
      • Opening a Spreadsheet
      • Locking a Spreadsheet
      • Unlocking a Spreadsheet
      • Logging Spreadsheet Changes
      • Viewing the Spreadsheet Log
      • Split Scrolling
      • Selecting an Entire Spreadsheet
      • Spreadsheet Formulas - Overview
      • Spreadsheet Log Table
      • Box-Cox Transformation Overview and Technical Notes
        • Box-Cox Transformation
        • Box-Cox Results
      • Menus
        • File Menu
        • Edit Menu
        • View Menu
        • Insert Menu
        • Format Menu
        • Statistics Menu
        • Data Mining Menu
        • Graphs Menu
        • Tools Menu
        • Data Menu
        • Window Menu
        • Help menu
        • Shortcut
          • Add Cases and/or Variables
          • Format - AutoFit Selection
          • AutoFit Header Height
          • Copy Header
          • Copy Info Box Text
          • Cut Header
          • Cut Info Box Text
          • Format Header
          • Format Info Box Text
          • Paste into Header
          • Paste into Info Box
          • Select All
          • Format - Cases - Cloak
          • Format - Cases - Uncloak
          • Format - Variables - Cloak
          • Format - Variables - Uncloak
      • What are the drag-and-drop facilities?
        • Can I expand the data file using drag-and-drop?
        • How does the extrapolation of blocks (AutoFill) work?
      • Printing a Spreadsheet
        • Using the Print Preview Window
      • Saving a Spreadsheet
      • Exchanging Information (Data, Graphs) with Other Applications
        • Exporting Data
        • Importing Data
      • Using Links
        • OLE Links
        • DDE Links - Overview
          • DDE Links
          • Creating a New DDE Link
          • Editing a DDE Link
          • Updating DDE Links
          • Disabling a DDE Link
          • Deleting a DDE Link
          • DDE Link Types
          • DDE Link Statements
          • New DDE Link
          • Manage DDE Links
        • Paste Link - Overview
          • Links
          • Updating a Paste Link
          • Opening a Paste Link Source
          • Changing a Paste Link Source
          • Breaking a Paste Link
      • Spreadsheet Formulas - Overview
        • Spreadsheet Formulas - Syntax Summary
        • Spreadsheet Formulas - Syntax Operators
        • Spreadsheet Formulas - Distributions and Their Functions
        • Spreadsheet Formulas - Math and Statistical Functions
        • Spreadsheet Formulas - Row, Column Functions
        • Spreadsheet Formulas - Case States Functions
        • Spreadsheet Formulas - Date & Time Functions
        • Spreadsheet Formulas - Numeric Functions
        • Spreadsheet Formulas - Regular Expression Functions
        • Regular Expression Overview
        • Spreadsheet Formulas - Regular Expression Function Examples
        • Spreadsheet Formulas - Examples
        • Function Browser, Variable Dialog box
        • Transformation of Text Variables (Variables of Type Text)
      • Case Selection Conditions - Overview
        • Case Selection Conditions - Syntax Summary
        • Case Selection Conditions - Examples
        • Spreadsheet Case Selection Conditions
          • Spreadsheet Case Selection Conditions - Selections Tab
          • Spreadsheet Case Selection Conditions - Display Tab
          • Spreadsheet Case Selection Conditions - Subset/Random Sampling Tab
      • Spreadsheet Case Weights
      • Verifying Data
        • Verification Conditions Syntax Summary
        • Verify Data
        • Data Verification
        • Data - Verify Data - Find Next Invalid Case
      • Standardizing Data
        • Standardization of Values
      • Ranking Values
        • Rank Order Values
      • Data Filtering/Recoding
        • Filter Duplicate Cases
        • Filter Sparse Data
        • Process Invariant Variables
        • Recode Outliers and Extreme/Rare Values
        • Process Missing Data
        • MD Imputation
        • Recoding Values - Example
        • Recode Values of Variable Dialog Box
      • Date Operations Dialog Box
        • Date Operations - Numeric Dates Tab
        • Date Operations - Text Dates Tab
      • Unstacking/Stacking Dialog Box
        • Unstacking/Stacking - Unstacking Tab
        • Unstacking/Stacking - Stacking Tab
        • Stacking Example
      • Data - Auto Filter - Auto Filter
        • Auto Filter Criteria
        • Top 10 Auto Filter
        • Data - Auto Filter - Set as Selection Conditions
        • Data - Auto Filter - Mark Cloaked Cases Excluded
        • Data - Auto Filter - Mark Cloaked Cases Hidden
    • ModifyingSpreadsheets
      • Editing the Contents of a Cell
      • Variable and Case Metadata Overview
      • Dialog Boxes
        • Merge Options
          • Merge Options - Variables Tab
          • Merge Options - Text Labels Tab
          • Merge Options - Cases Tab
          • Merge Options - Options Tab
          • Merge Variables Example
        • Create a Random Sample
          • Create a Random Sample - Simple Sampling Tab
          • Create a Random Sample - Stratified Sampling Tab
          • Create a Random Sample - Options Tab
        • Change Icon
        • Find
        • Go To
        • Gridlines
        • Insert Object
        • Missing Data Replacement
        • Recalculate Spreadsheet Formulas
        • Replace
        • Case State
      • FormattingSpreadsheets
        • Variable Text Values
        • Create a Custom Header or Footer (for Spreadsheets)
          • Modify Header/Footer
        • Using Formats
          • Formats - Overview
            • Creating a New Format
            • Applying a Format
            • Modifying a Format
            • Renaming a Format
            • Deleting a Format
            • Saving a Format
            • Spreadsheet Formatting Options
            • Format Characters
          • Format Dialog Boxes
            • Format Manager
            • Format Name
            • Edit Format Dialog Box
              • Edit Format
              • Edit Format - Number Tab
              • Edit Format - Alignment Tab
              • Edit Format - Font Tab
              • Edit Format - Border Tab
        • Spreadsheet Layouts - Overview
          • Creating a New Spreadsheet Layout
          • Apply a Spreadsheet Layout
          • Edit a Spreadsheet Layout
          • Rename a Spreadsheet Layout
          • Delete a Spreadsheet Layout
          • Spreadsheet Layouts Dialog Boxes
            • Spreadsheet Layout Manager
            • Spreadsheet Layouts - General tab
            • Spreadsheet Layouts - System tab
            • Edit Spreadsheet Layout
            • Spreadsheet Layout Name
      • Case Operations
        • Adding Cases
          • Add Cases
        • Moving Cases
          • How to Move Before Case 1
          • Move Cases
        • Copying Cases
          • How to Copy Before Case 1
          • Copy Cases
        • Deleting Cases
          • Delete Cases
        • Case Names
          • Case Names Manager
        • Set Case Height
      • VariableOperations
        • Adding Variables
          • Add Variables
        • Moving Variables
          • How to Move Before Variable 1
          • Move Variables
          • Shift Variables
        • Copying Variables
          • Copy Variables
        • Deleting Variables
          • Delete Variables
        • Variable Specifications
          • Variable Specifications Editor
          • Text Labels Editor
          • Variable Bundle Manager
          • Using the Text Labels Editor
          • Notes on Text Labels and Text Values
          • Values/Stats
        • Sort Options
        • Set Variable Width
        • Select Variables
    • Frequently Asked Questions
      • General
        • Can I create a custom list to use for extrapolation?
        • Can I open more than one input data file simultaneously?
        • Can I use the results of one analysis to perform another analysis?
        • Can I create a custom list to use for extrapolation?
        • What is a matrix spreadsheet?
        • Does Statistica support drag-and-drop opening of spreadsheets and graphs?
        • How much disk space is necessary to perform database management operations?
        • Can I undo editing operations?
        • What is the difference between the file header and a customized header?
        • What graphs are available from spreadsheets?
        • How do I insert an object into the spreadsheet?
        • How Do I Interpret the Spreadsheet Audit Log File
      • Cases, Variables, Formats
        • What are cases and variables?
        • Why do we need different variable types?
        • How do I add or delete variables (columns of data)?
        • How do I add/delete cases (rows of data)?
        • Can I select (highlight) the entire spreadsheet?
        • Can I edit the contents of a cell (and not overwrite it)?
        • How are dates represented in Statistica data files?
        • How is time represented in Statistica data files?
        • How do I convert date-values into text values and vice-versa?
        • How do I review and edit variable specifications (names, formats, notes, formulas)?
        • How are missing data handled in Statistica?
        • How do I change the missing data code for individual variables?
        • How do I edit case names?
        • How do I create a new cell/block format?
        • How do I apply a format?
        • How do I create a new spreadsheet layout?
        • How do I apply a spreadsheet layout?
        • What is the difference between hidden and excluded case states?
      • Text Labels
        • Can I label numeric values?
        • How do I enter/edit the assignments between numeric values and text labels?
        • Can I switch between displaying text labels and numeric values in the data spreadsheet?
        • Can I copy a set of text labels, numeric values, and descriptions to other variables and files?
        • Can Clipboard and drag-and-drop operations in the spreadsheet affect values outside the range that is being pasted or dropped?
      • Operations on Blocks of Values
        • What are the drag-and-drop facilities?
        • Can I rearrange blocks of data or ranges of cases and variables in a data file?
        • What is the difference between copy and copy with headers?
        • Do Statistica Spreadsheets support split display?
        • How can I expand a block in the spreadsheet outside the current screen?
        • Can I expand the data file using drag-and-drop?
      • Splitting and Merging Files
        • How do I split a Statistica data file into smaller files?
        • How do I merge two Statistica data files?
        • Can I merge the text labels/numeric values from two files?
      • Formulas, Transformations, Recoding, Verifying, Cleaning Data
        • How do I calculate (transform) values of a variable?
        • Can STATISTICA automatically recalculate all spreadsheet formulas when the data change?
        • What is the simplest way to recode values of a variable (e.g., split a continuous variable into categories)?
        • How do I create values of a new variable based on conditions met by other variables?
        • What syntax can be used to create case selection/verification/recode conditions (or to calculate variable values using spreadsheet formulas)?
        • How can I verify and "clean" data?
        • How do I perform a multiple sort?
        • How do I rank-order values of a variable (replace values with their ranks)?
        • How do I transpose data (convert cases into variables)?
        • How do I automatically fill ranges of data in the spreadsheet?
        • How does the extrapolation of blocks (AutoFill) work?
        • How do I standardize values in a block?
      • Statistical Analyses
        • How do I select variables for an analysis?
        • Can variables be selected for analyses by highlighting them in the spreadsheet?
        • How do I select a subset of cases (observations) to be included in an analysis?
        • How are case selection conditions stored and saved?
        • Can I select random subsets of data?
        • What is the quickest way to review basic descriptive statistics for a variable?
        • What is the quickest way to review a sorted list of all unique values of a variable?
        • What are statistics of block data?
        • Can matrix data be used for input instead of raw data?
      • Import, Export, DDE, OLE
        • How can I access data from excel and other foreign data files?
        • How do I export data from Statistica to Excel and other foreign data files?
        • Can Statistica access data from enterprise databases?
        • Can Statistica access data from mainframe databases?
        • Can Statistica process files that are larger than the local hard drive?
        • Does Statistica support ODBC?
        • How do I set up OLE links between Statistica and other Windows applications?
        • How do I set up DDE links between Statistica and other windows applications?
  • Working with Graphs
    • UnderstandingGraphs
      • Graph Window Overview
        • Graphs in Statistica
        • Customization of Graphs
        • Creating Graphs via Statistica Visual Basic
        • References, Acknowledgments, Standards
        • General Categories of Graphs
          • Graphs of Input Data
          • Graphs of Block Data
          • Graphs Menu Graphs
          • User Defined Graphs
          • Other Specialized Graphs
      • Graphs Menu Graphs
        • General Overviews
          • Graphs in Statistica
          • 2D Graphs
          • 3D Sequential Graphs
          • 3D XYZ Graphs
          • Conceptual Overviews - Icon Plots
          • Conceptual Overviews - Matrix Plots
          • Categorized Graphs
        • Conceptual Overviews
          • 2D Graphs Overview
            • Conceptual Overviews - 2D Histograms
            • Conceptual Overviews - 2D Scatterplots
            • Conceptual Overviews - 2D Box (and Means with Error) Plots
            • Conceptual Overviews - 2D Range Plots
            • Conceptual Overviews - 2D Line Plots (Variables)
            • Conceptual Overviews - 2D Scatterplot with Error Bars
            • Bag Plots - Introductory Overview
            • Conceptual Overviews - Scatter Icon Plots
            • Conceptual Overviews - Scatter Image Plots
            • Conceptual Overviews - Normal Probability Plots
            • Conceptual Overviews - Quantile-Quantile Plots
            • Conceptual Overviews - Probability-Probability Plots
            • Conceptual Overviews - Pie Charts
            • Conceptual Overviews - Sequential/Stacked Plots
            • Conceptual Overviews - Missing/Range Data Plots
          • 3D XYZ Graphs Overview
            • Conceptual Overviews - 3D Scatterplots
            • Conceptual Overviews - Trace Plots
            • Conceptual Overviews - Surface Plots
            • Conceptual Overviews - Contour Plots
            • Conceptual Overviews - Ternary Plots
            • Conceptual Overviews - 3D Categorized Plots
          • 3D Sequential Graphs Overview
            • Conceptual Overviews - Raw Data Plots
            • Conceptual Overviews - Bivariate Histograms
            • Conceptual Overviews - 3D Range and Box Plots
          • Conceptual Overviews - Icon Plots
          • Conceptual Overviews - Matrix Plots
          • Conceptual Overviews - What Are Categorized Graphs?
            • Conceptual Overviews - Categorized Histograms
            • Conceptual Overviews - Categorized Scatterplots
    • Creating Graphs
      • 2D Graphs Overview 1
        • 2D Graphs
        • Histograms
          • 2D Histograms
          • 2D Histograms - Quick Tab
          • 2D Histograms - Advanced Tab
          • 2D Histograms - Appearance Tab
          • 2D Histograms - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
          • Specify Boundaries For
        • Scatterplots
          • 2D Scatterplots
          • 2D Scatterplots - Quick Tab
          • 2D Scatterplots - Advanced Tab
          • Specify Multiple Subsets
          • 2D Scatterplots - Appearance Tab
          • 2D Scatterplots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Bag Plots
          • 2D Bar/Column Plots
          • Bag Plot - Quick Tab
          • Bag Plot - Advanced Tab
          • Specify Multiple Subsets
          • Bag Plot - Appearance Tab
          • Bag Plot - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Means w/Error Plots
          • Means with Error Plots
          • Means with Error Plots - Quick Tab
          • Means with Error Plots - Advanced Tab
          • Means with Error Plots - Appearance Tab
          • Means with Error Plots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Box Plots
          • 2D Box Plots
          • 2D Box Plots - Quick Tab
          • 2D Box Plots - Advanced Tab
          • 2D Box Plots - Appearance Tab
          • 2D Box Plots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Variability Plots
          • Variability Plot
          • Variability Plot - Quick Tab
          • Variability Plot - Quick Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Range Plots
          • 2D Range Plots
          • 2D Range Plots - Quick Tab
          • 2D Range Plots - Advanced Tab
          • 2D Range Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Scatterplot with Error Bars
          • Scatterplot with Error Bars
          • Scatterplot with Error Bars - Quick Tab
          • Scatterplot with Error Bars - Advanced Tab
          • Scatterplot with Error Bars - Appearance Tab
          • Scatterplot with Error Bars - Appearance Tab
          • Scatterplot with Error Bars - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Scatter Icon Plots
          • Scatter Icon Plots
          • Scatter Icon Plots - Quick Tab
          • Scatter Icon Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Scatter Image Plots
          • Scatter Image Plots
          • Scatter Image Plots - Quick Tab
          • 2D/3D Scatter Image Plots - Appearance Tab
          • 2D/3D Scatter Image Plots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Scatterplots with Histograms
          • 2D Scatterplots with Histograms
          • 2D Scatterplots with Histograms - Quick Tab
          • 2D Scatterplots with Histograms - Advanced Tab
          • 2D Scatterplots with Histograms - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Scatterplots with Box Plots
          • 2D Scatterplots with Box Plots
          • 2D Scatterplots with Box Plots - Quick Tab
          • 2D Scatterplots with Box Plots - Advanced Tab
          • 2D Scatterplots with Box Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Normal Probability Plots
          • Normal Probability Plots
          • Normal Probability Plots - Quick Tab
          • Normal Probability Plots - Appearance Tab
          • Normal Probability Plots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Quantile-Quantile Plots
          • Quantile-Quantile Plots
          • Quantile-Quantile Plots - Quick Tab
          • Quantile-Quantile Plots - Advanced Tab
          • Quantile-Quantile Plots - Appearance Tab
          • Quantile-Quantile Plots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Probability-Probability Plots
          • Probability-Probability Plots
          • Probability-Probability Plots - Quick Tab
          • Probability-Probability Plots - Advanced Tab
          • Probability-Probability Plots - Appearance Tab
          • Probability-Probability Plots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Bar/Column Plots
          • 2D Bar/Column Plots
          • 2D Bar/Column Plots - Quick Tab
          • 2D Bar/Column Plots - Advanced Tab
          • 2D Bar/Column Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Line Plots (Variables)
          • 2D Line Plots - Variables
          • 2D Line Plots - Variables - Quick Tab
          • 2D Line Plots - Variables - Advanced Tab
          • 2D Line Plots - Variables - Appearance Tab
          • 2D Line Plots - Variables - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Line Plots (Case Profiles)
          • 2D Line Plots - Case Profiles
          • 2D Line Plots - Variables - Quick Tab
          • 2D Line Plots - Variables - Advanced Tab
          • 2D Line Plots - Case Profiles - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Sequential/Stacked Plots
          • Sequential/Stacked Plots
          • Sequential/Stacked Plots - Quick Tab
          • Sequential/Stacked Plots - Advanced Tab
          • Sequential/Stacked Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Pie Charts
          • Pie Charts
          • Pie Charts - Quick Tab
          • Pie Charts - Appearance Tab
          • Pie Charts - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Missing and Out-of-Range Data Plots
          • Missing and Out-of-Range Data Plots
          • Missing and Out-of-Range Data Plots - Quick Tab
          • Missing and Out-of-Range Data Plots - Advanced Tab
          • Missing and Out-of-Range Data Plots - Appearance Tab
          • Missing and Out-of-Range Data Plots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Custom Function Plots
          • 2D Custom Function Plots
          • 2D Custom Function Plots - Custom Function Tab
          • 2D Custom Function Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
      • 3D Sequential Graphs
        • 3D Raw Data Plots
          • 3D Raw Data Plots - Quick Tab
          • 3D Raw Data Plots - Advanced Tab
          • 3D Box Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 3D Bivariate Histograms
          • 3D Bivariate Histograms - Quick Tab
          • 3D Bivariate Histograms - Advanced Tab
          • 3D Bivariate Histograms - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 3D Range Plots
          • 3D Range Plots - Quick Tab
          • 3D Range Plots - Advanced Tab
          • 3D Range Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 3D Box Plots
          • 3D Box Plots - Quick Tab
          • 3D Box Plots - Advanced Tab
          • 3D Box Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
      • 3D XYZ Graphs
        • 3D Scatterplots
          • 3D Scatterplots - Quick Tab
          • 3D Scatterplots - Advanced Tab
          • 3D Scatterplots - Appearance Tab
          • 3D Scatterplots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 3D Scatter Image Plot
          • 3D Scatter Image Plot - Quick Tab
          • 2D/3D Scatter Image Plots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 3D Surface Plots - Quick Tab
          • 3D Surface Plots - Appearance Tab
          • 3D Surface Plots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 3D Contour Plots
          • 3D Contour Plots - Quick Tab
          • 3D Contour Plots - Appearance Tab
          • 3D Contour Plots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 3D Wafer Plots
          • 3D Wafer Plots - Quick Tab
          • 3D Wafer Plots - Appearance Tab
          • 3D Wafer Plots - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Ternary Graphs
          • Ternary Graphs - Quick Tab
          • Ternary Graphs - Advanced Tab
          • Ternary Graphs - Appearance Tab
          • Ternary Graphs - Categorized Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 3D Categorized Plots
          • 3D Categorized Plots - Quick Tab
          • 3D Categorized Plots - Advanced Tab
          • 3D Categorized Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Categorized Ternary Graphs
          • Categorized Ternary Graphs - Quick Tab
          • Categorized Ternary Graphs - Advanced Tab
          • Categorized Ternary Graphs - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 3D Custom Function Plots
          • 3D Custom Function Plots - Quick Tab
          • 3D Custom Function Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
      • Matrix Plots
        • Matrix Plots - Quick Tab
        • Matrix Plots - Advanced Tab
        • Matrix Plots - Appearance Tab
        • 2D/3D Graphs - Options 1 Tab
        • 2D/3D Graphs - Options 2 Tab
      • Icon Plots
        • Icon Plots - Quick Tab
        • Icon Plots - Advanced Tab
        • Icon Plots - Appearance Tab
        • 2D/3D Graphs - Options 1 Tab
        • 2D/3D Graphs - Options 2 Tab
      • Categorized Graphs
        • 2D Categorized Histograms
          • 2D Categorized Box Plots - Quick Tab
          • 2D Categorized Box Plots - Advanced Tab
          • 2D Categorized Histograms - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 2D Categorized Scatterplots
          • 2D Categorized Scatterplots - Quick Tab
          • 2D Categorized Scatterplots - Advanced Tab
          • 2D Categorized Scatterplots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Categorized Means with Error Plots
          • Categorized Means with Error Plots - Quick Tab
          • Categorized Means with Error Plots - Advanced Tab
          • Categorized Means with Error Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 2D Categorized Box Plots
          • 2D Categorized Box Plots - Quick Tab
          • 2D Categorized Box Plots - Advanced Tab
          • 2D Categorized Box Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Categorized Normal Probability Plots
          • Categorized Missing and Out-of-Range Data Plots - Quick Tab
          • Categorized Normal Probability Plots - Advanced Tab
          • Categorized Normal Probability Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Categorized Quantile-Quantile Plots
          • Categorized Quantile-Quantile Plots - Quick Tab
          • Categorized Quantile-Quantile Plots - Advanced Tab
          • Categorized Quantile-Quantile Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Categorized Probability-Probability Plots
          • Categorized Probability-Probability Plots - Quick Tab
          • Categorized Probability-Probability Plots - Advanced Tab
          • Categorized Probability-Probability Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Categorized Line Plots
          • Categorized Line Plots - Quick Tab
          • Categorized Line Plots - Advanced Tab
          • Categorized Means with Error Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Categorized Pie Charts
          • Categorized Pie Charts - Quick Tab
          • Categorized Pie Charts - Advanced Tab
          • Categorized Pie Charts - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Categorized Missing and Out-of-Range Data Plots
          • Categorized Missing and Out-of-Range Data Plots - Quick Tab
          • Categorized Missing and Out-of-Range Data Plots - Advanced Tab
          • Categorized Missing and Out-of-Range Data Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • 3D Categorized Plots
          • 3D Categorized Plots - Quick Tab
          • 3D Categorized Plots - Advanced Tab
          • 3D Categorized Plots - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
        • Categorized Ternary Graphs
          • Categorized Line Plots - Quick Tab
          • Categorized Ternary Graphs - Advanced Tab
          • Categorized Ternary Graphs - Appearance Tab
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
      • Graphs of Block Data - Histogram: Block Columns
        • Graphs of Block Data - Histogram: Entire Columns
        • Graphs of Block Data - Line Plot: Entire Columns
        • Graphs - Graphs of Block Data - Line Plot: Block Rows
        • Graphs of Block Data - Box Plot: Block Columns
        • Graphs of Block Data - Normal Probability Plot: Block Columns
        • Graphs - Graphs of Block Data - Custom Graph from Block by Column
        • Graphs of Block Data - Custom Graph from Block by Row
        • Graphs of Block Data - Custom Graph for Entire Column
        • Graphs - Graphs of Block Data - Custom Graph for Entire Row
        • Graphs of Block Data - Customize List
      • Graphs of Input Data - Values/Stats
        • Graphs of Input Data - Histogram
          • Graphs - Graphs of Input Data - Histogram - Regular
          • Graphs - Graphs of Input Data - Histogram - Normal Fit
        • Graphs of Input Data - Box-Whisker
          • Graphs - Graphs of Input Data - Box-Whisker - Median/Quart./Range
          • Graphs - Graphs of Input Data - Box-Whisker - Mean/SE/SD
          • Graphs - Graphs of Input Data - Box-Whisker - Mean/SD/1.96*SD
          • Graphs - Graphs of Input Data - Box-Whisker - Mean/SE/1.96*SE
        • Graphs of Input Data - Probability Plot
          • Graphs - Graphs of Input Data - Probability Plot - Normal Probability
          • Graphs - Graphs of Input Data - Probability Plot - Half-Normal Prob
          • Graphs - Graphs of Input Data - Probability Plot by - Detrended
        • Graphs of Input Data - Scatterplot by ...
          • Graphs - Graphs of Input Data - Scatterplot by - Regression, 95% Conf
          • Graphs - Graphs of Input Data - Scatterplot by - Polynomial Fit, 95% Conf
          • Graphs - Graphs of Input Data - Scatterplot by - Regular
          • Graphs - Graphs of Input Data - Scatterplot by - with Histograms
          • Graphs - Graphs of Input Data - Scatterplot by - with Box Plots
        • Graphs of Input Data - 2D Histogram by ...
          • Graphs - Graphs of Input Data - 3D Histogram by - Continuous by Continuous
          • Graphs - Graphs of Input Data - 3D Histogram by - Discrete by Discrete
          • Graphs - Graphs of Input Data - 3D Histogram by - Continuous by Discrete
          • Graphs - Graphs of Input Data - 3D Histogram by - Discrete by Continuous
        • Graphs of Input Data - 3D Histogram by ...
          • Graphs - Graphs of Input Data - 3D Histogram by - Continuous by Continuous
          • Graphs - Graphs of Input Data - 3D Histogram by - Discrete by Discrete
          • Graphs - Graphs of Input Data - 3D Histogram by - Continuous by Discrete
          • Graphs - Graphs of Input Data - 3D Histogram by - Discrete by Continuous
        • Graphs of Input Data - Box-Whisker by ...
          • Graphs - Graphs of Input Data - Box-Whisker by - Median/Quart./Range
          • Graphs - Graphs of Input Data - Box-Whisker by - Mean/SE/SD
          • Graphs - Graphs of Input Data - Box-Whisker by - Mean/SD/1.96*SD
          • Graphs - Graphs of Input Data - Box-Whisker by - Mean/SE/1.96*SE
        • Graphs of Input Data - Probability Plot by ...
      • Multiple Graph Layout
        • Multiple Graph Layouts - Autolayout Wizard Overview
        • AutoLayout Wizard - Step 1
        • AutoLayout Wizard - Step 2
        • Multiple Graph Layouts - Template Overview
        • Graph Template
      • Graph Data Size
        • Data Size Threshold
        • Large Data Warning
        • Size of Statistica Graph Files
    • Using Graphs
      • Adding Objects to a Graph
      • Graph Locking
      • Merge Graph
      • Paste Graph
      • Show Brushing
      • Polyline Object Properties
    • Modifying Graphs
      • Graph Overviews
        • Advanced Graphics Capabilities
        • Compound Graph Customization
        • Extra Objects in Compound Graphs
        • Mini-Formatting Toolbar
        • Multiple Graph Layouts - Autolayout Wizard Overview
        • Multiple Graph Layouts - Template Overview
      • Menus
        • File Menu
        • Edit Menu
        • View Menu
        • Insert Menu
        • Format Menu
        • Statistics Menu
        • Graphs Menu
        • Tools Menu
        • Window Menu
        • Help menu
        • Graph Data Editor - Layouts Menu
          • Graph Data Editor - Layouts Tab/Menu
          • Layouts - Graph Options
          • Layouts - Plot Layout
          • Layouts - Calculated Graph Data
          • Layouts - Fit Values
          • Voronoi Values
          • Layouts - Custom Function Values
          • Layouts - Point Label/ID Info
          • Layouts - Brushing Mark
          • Layouts - Brushing Label
          • Layouts - Brushing Exclude
          • Layouts - Brushing Hide
          • Brushing Off
          • Brushing On
          • Layouts - Reset (Brushing) Block
          • Data Selected by Brushing Menu
            • Data Selected by Brushing
            • Data Selected by Brushing - Copy to Clipboard
            • Data Selected by Brushing - Copy To New Plot
            • Data Selected by Brushing - Move To New Plot
            • Data Selected by Brushing - Delete
            • Data Selected by Brushing - De-select
        • Shortcut Menus
          • Graph Shortcut Menus
            • Axis Properties
            • Bar Options
            • Box and Whisker Style
            • Capture Rectangle
            • Capture Rectangle
            • Clone Graph
            • Regression Bands
            • Convert to Floating Text
            • Convert To Footnote
            • Convert To Left Title
            • Convert To Right Title
            • Convert To Subtitle
            • Convert To Title
            • Convert To Title (Submenu Command)
            • Copy Graph
            • Copy Object
            • Custom Units
            • Cut Object
            • Delete Object
            • Disconnect Text from Graph
            • Ellipse
            • Fitting
            • General
            • General Plot Options
            • Graph Data Editor
            • Graph Options
            • Hide
            • Histogram
            • Lock Object
            • Major Units
            • Minor Units
            • Paste
            • Pattern
            • Plot Properties
            • Point Labels
            • Print Graph
            • Properties
            • Save Graph
            • Scale Values
            • Scaling
            • Screen Catcher
            • Select Axis
            • Set Document Size and Scaling
            • Set Graph Region
            • Show All Titles/Floating Text
            • Text Object Properties
            • Title
            • Title Properties
          • Graph Data Editor Shortcut Menus
            • Add Plot
            • Graph Options
            • Brushing Highlight
              • Brushing Exclude
              • Brushing Exclude - Toggle Exclude Block
              • Brushing Exclude - Include Block
              • Brushing Exclude - Exclude Block
            • Brushing Label
              • Brushing Label
              • Brushing Label - Toggle Label Block
              • Brushing Label - Label Block
              • Brushing Label - Unlabel Block
            • Brushing Mark
              • Brushing Mark
              • Brushing Mark - Toggle Mark Block
              • Brushing Mark - Mark Block
              • Brushing Mark - Unmark Block
            • Calculated Graph Data
            • Copy
            • Custom Function Values
            • Cut
            • Data Selected by Brushing
              • Data Selected by Brushing
              • Data Selected by Brushing - Copy to Clipboard
              • Data Selected by Brushing - Copy To New Plot
              • Data Selected by Brushing - Move To New Plot
              • Data Selected by Brushing - Delete
              • Data Selected by Brushing - De-select
            • Fit Values
            • Plot Layout
            • Point Label/ID Info
            • Reset (Brushing) Block
            • Turn Off
              • Brushing Hide
              • Brushing Hide - Toggle hide Block
              • Brushing Hide - Hide Block
              • Brushing Hide - Show Block
      • Dialog Boxes
        • Document Size and Scaling
        • Graphs Gallery
        • Graph Options
        • Specify Multiple Subsets
        • Summary of Settings
        • Lock Graph
        • Animation
        • Axis Options
          • Axis: General (2D Graphs)
          • Axis: General (3D Graphs)
          • Axis: Title
          • Axis: Scaling
          • Axis: Major Units
          • Axis: Minor Units
          • Axis: Scale Values
          • Axis: Custom Units
          • Axis: Reference Lines
          • Vertical Axis
          • Copy Axis Specs To
        • Box/Whisker
          • Box/Whisker More Options
          • Spreads
        • Brushing
          • Brushing 2D/3D
          • Brushing 2D/3D - Interactive Tab
          • Brushing 2D/3D - Extended Tab
        • Categorization
          • Categorization
          • Category Overlay Areas
          • Category Overlay Fit Lines
          • Category Overlay Markers
          • Category Overlay Lines
        • Embedded Object
          • Arrow Object Properties
          • OLE Object Properties
          • Shape Object Properties
          • Snap to Grid
          • Text Object Properties
        • Function
          • Custom Function (2D Graphs)
          • Custom Function  (3D XYZ Graphs)
          • Custom Function (Ternary Plots)
          • Custom Function
          • Edit 3D Custom Function
          • Edit Custom Function
          • Function Name Manager
        • Graph Layout
          • Graph: Layout (2D Graphs)
          • Graph: Layout (3D Sequential Graphs)
          • Graph: Layout (Icon Plots)
          • Graph: Layout (Matrix Plots)
        • Icon Plot
          • Icon Scatterplots
          • Chernoff Face Definition
          • Patterns (Icon Plots)
        • Line, Area, and Marker
          • Area Properties
          • Line Properties
          • Marker Properties
          • Picture Markers - Graphics File Images
        • Menu Customization
          • Customize Graph Menu
          • Customize User Graph Menu
        • Options
          • 2D/3D Graphs - Options 1 Tab
          • 2D/3D Graphs - Options 2 Tab
          • Graph Options
        • Number Formatting
          • Value Format
          • Number Format
        • Pie Chart
          • Multiple Pies
        • Plot
          • Plot: Aggregation
          • Plot: Bars
          • Plot: Box/Whisker
          • Plot: Classes
          • Plot: Ellipse
          • Plot: Fitting
          • Plot: Fitting (3D XYZ Graphs)
          • Plot: General
          • Plot: General (3D Sequential Graphs)
          • Plot: General (3D XYZ Graphs)
          • Plot: Histogram
          • Plot: Missing Data
          • Plot: Normal Probability
          • Plot: Pies
          • Plot: Point Labels
          • Plot: Point Labels (3D Sequential Graphs)
          • Plot: Point Labels (3D XYZ Graphs)
          • Plot: Point Labels (Icon Plots)
          • Plot: PP
          • Plot: QQ
          • Plot: Regression Bands
          • Plot: Scatterplot
          • Plot: Spreads
          • Plot: Ternary
          • Plot: Variability Plot
          • New Plot(s)
          • Related to Plot
        • Select Graph
          • Select Graph
          • Select Graph - 2D Graphs
          • Select Graph - 3D Sequential Graphs
          • Select Graph - 3D XYZ Graphs
          • Select Graph - Icon Graphs
          • Select Graph - Matrix Graphs
        • Statistics
          • Statistics (2D Histogram Plots)
          • Statistics (Bivariate Histogram Plots)
          • Statistics (Box-Whisker Type Plots)
          • Statistics (for Scatterplot-Type Plots)
          • Statistics (Normal Probability Plots)
        • Style
          • New Style
        • Surface
          • Surface
          • Surface Specifications
          • 3D Surface Plots
        • Titles & Legend
          • Add Legend
          • Graph Titles/Text
          • Title
        • User-Defined Graph
          • Specify Name for User-defined Graph
          • New User-Defined Graph
      • Customization of Graphs
        • Customizing Graphs: Default Settings
        • Interactive Graph Customization
      • Compound Graphs
        • Creating User Defined Compound Graphs
        • Compound Graph Customization
        • Compound\Multiple Graphs
      • Graph Data Editor
        • Graph Data Editor Overview
        • Calculated Graph Data
        • Function/Fit Values
        • Voronoi Values
        • Graph Data Point Info
        • Menus
          • Layouts
            • Graph Data Editor - Layouts Tab/Menu
            • Layouts - Graph Options
            • Layouts - Plot Layout
            • Layouts - Calculated Graph Data
            • Layouts - Fit Values
            • Layouts - Custom Function Values
            • Layouts - Point Label/ID Info
            • Layouts - Brushing Mark
            • Layouts - Brushing Label
            • Layouts - Brushing Hide
            • Layouts - Brushing Exclude
            • Layouts - Reset (Brushing) Block
            • Data Selected by Brushing
              • Data Selected by Brushing
              • Data Selected by Brushing - Copy to Clipboard
              • Data Selected by Brushing - Copy To New Plot
              • Data Selected by Brushing - Move To New Plot
              • Data Selected by Brushing - Delete
              • Data Selected by Brushing - De-select
          • Shortcut
            • Add Plot
            • Cut
            • Copy
            • Calculated Graph Data
            • Fit Values
            • Custom Function Values
            • Point Label/ID Info
            • Brushing Mark
              • Brushing Mark
              • Brushing Mark - Toggle Mark Block
              • Brushing Mark - Mark Block
              • Brushing Mark - Unmark Block
            • Brushing Label
              • Brushing Label
              • Brushing Label - Toggle Label Block
              • Brushing Label - Label Block
              • Brushing Label - Unlabel Block
            • Turn Off
              • Brushing Hide
              • Brushing Hide - Toggle hide Block
              • Brushing Hide - Hide Block
              • Brushing Hide - Show Block
            • Brushing Highlight
              • Brushing Exclude
              • Brushing Exclude - Toggle Exclude Block
              • Brushing Exclude - Include Block
              • Brushing Exclude - Exclude Block
            • Reset (Brushing) Block
            • Data Selected by Brushing
              • Data Selected by Brushing
              • Data Selected by Brushing - Copy to Clipboard
              • Data Selected by Brushing - Copy To New Plot
              • Data Selected by Brushing - Move To New Plot
              • Data Selected by Brushing - Delete
              • Data Selected by Brushing - De-select
    • Formatting Graphs
      • Using Graphics Styles
        • Graphics Styles - Overview
        • Graphics Styles - Contents of Graphics Styles
        • Graphics Styles - Managing and Editing Graphics Styles
        • Graphics Styles - Applying a Graphics Style
        • Graphics Styles - Importing and Exporting Styles
        • Graph Import Warning
        • Creating a Graphics Style
        • Graphics Styles
          • List of Styles
          • Style Properties
        • Graphics Styles - Examples
          • Example 1: Styles that Apply to the Entire Graph
          • Example 2: Adding Styles for Graph Objects
          • Example 3: Styles for Individual Features
      • Document Styles - Overview
        • Creating a Document Style
    • Frequently Asked Questions
      • General
        • What categories of graphs are available?
        • Are there different customization options for each type of graph?
        • Can graphs be automatically updated when the data file changes?
        • In what formats can I save graphs?
        • What is the Windows metafile graphics format?
        • What is the bitmap graphics format?
        • What is the JPEG graphics format?
        • What is the PNG (Portable Network Graphics) format?
        • What is the native Statistica graphics format?
        • How do I export a Statistica graph to another application?
        • What is the difference between a graph and a plot?
        • What are categorized graphs?
        • How do I define categories in categorized graphs?
        • How do I produce ternary contour plots and surfaces?
        • How do I produce graphs with polar coordinates?
        • What are multiple axes in graphs?
        • How is the mouse used in graph applications?
        • How do I select objects in a graph?
        • How can I interpret a 100(1-alpha)% confidence interval?
      • Graph Customization
        • General Features
          • When and how can I customize Statistica graphs?
          • How do I add a new plot to an existing graph?
          • What is the Graph Options dialog?
          • How can I adjust the margins of a graph?
          • How can I change the proportions of the graph window?
          • How do I produce sequences of graphs from lists of variables?
          • How do I specify properties for point markers?
          • How do I specify area properties?
          • How do I specify line properties?
          • Can I control the resolution of fit lines?
        • Styles
          • What are graph styles?
          • How can I create a style from a custom graph title format?
          • How can I apply a saved style to a graph title in a new graph?
          • Does altering the graph defaults on the Options dialog affect graph styles?
          • If I save a graph with customized styles, how will this graph appear on a colleague's computer who does not have those particular styles?
          • Can I transfer a graph style from one system to another?
          • What do the letter icons represent in the graph styles manager?
        • Scales
          • How do I customize the layout and format of an axis?
          • How do I replace numeric scale values with text labels?
          • Can I insert a scale break?
          • Can I shift the position of axes against the graph?
          • Can I adjust the number of minor units?
          • Can I specify custom locations for tickmarks?
          • What is the difference between manual and auto scaling?
        • Titles, Legends, Custom Text
          • Is all graph text editable?
          • Can I customize the location and format of the legend?
          • What other types of legends are automatically created in graphs?
          • How can I add a title to a graph?
          • Can I enter a symbol into a graph title?
          • Can I convert the standard titles into movable text?
          • How do I place a graph title or a footnote in a fixed position?
          • How do I rotate text?
      • Fitting, Plotting Functions
        • How do I fit a function to data?
        • How do I display a specific equation for the fitted function?
        • How do I plot a custom-defined function?
        • How do I fit a custom-defined function to data?
        • How do I plot a parametric curve?
      • Interactive Analysis
        • Brushing
          • What is the Graph Data Editor?
          • Is there a glossary of brushing terms?
          • How can data points selected via brushing be identified and managed in the Graph Data Editor?
          • How can brushing be used in exploratory data analysis?
          • How can brushed data points be identified and managed in the Graph Data Editor?
          • What is animated brushing?
          • Can I interactively review points that belong to specific plots in multiple scatterplots and other multiple graphs?
          • How can I identify specific subsets of data in a graph?
          • Can I interactively identify data points in a graph?
          • How can I use the slices brush?
        • 3D Displays
          • Can I rotate or adjust the perspective of a 3D graph?
          • How do I perform exploratory spinning of 3D data displays?
          • How do I change the axis proportions in 3D graphs?
          • How do I define a custom selection of levels for a contour plot or surface plot?
          • How do I define a custom palette for a contour plot or surface plot?
          • Can I 3D zoom on a selected cube?
      • Compound Graphs, Embedding, Clipboard, Multiple Graph Management
        • How can I place one STATISTICA graph into another?
        • How can I place a foreign graph or artwork into a STATISTICA graph?
        • How do I place text in a STATISTICA graph?
        • What are compound graphs?
        • Can I represent objects in graphs as expandable icons?
        • How can I copy an entire STATISTICA graph to the Clipboard?
        • How can I copy a selected part of a STATISTICA graph to the Clipboard?
        • Can I create a blank graph?
        • Can I place multiple graphs on one page?
        • What is the Multiple Graph AutoLayout Wizard?
        • How can I undo operations on objects?
      • Printing Graphs
        • Are fonts set to specific sizes always printed having the requested physical sizes?
        • Are there options to make printed graphs look better?
        • Can I quickly adjust sizes of all fonts in a graph?
        • Do all printer drivers support rotated fonts?
        • Do all printers support the non-transparent overlaying of graphic objects?
        • What is the difference between the dynamic and fixed status of custom objects (e.g., arrows, custom text, drawings) in graphs?
      • Hidden and Excluded Case States
        • What is the difference between hidden and excluded case states?
    • Examples
      • Example: Creating a Wafer Plot
      • Example: Creating a Graph of Input Data
      • Example: Creating a Graph of Block Data Using an Input Data File
      • Example: Creating a Graph of Block Data Using an Analysis Output Spreadsheet as Input
      • Example: Creating and Customizing a Simple 2D Graphs Menu Graph
      • Specifying Multiple Subsets Example
      • Graphics Styles - Examples
        • Example 1: Styles that Apply to the Entire Graph
        • Example 2: Adding Styles for Graph Objects
        • Example 3: Styles for Individual Features
    • Notes and Technical Information
      • 2D Fit Lines
      • 3D Graph Surfaces
      • Assessing the Fit of a Distribution via Quantile-Quantile Plots
      • Axis Overview
      • Calculating Contour Levels and Distance
      • Categorization Methods
      • Categorized Scatterplots - Overview
      • Distance-Weighted Least Squares Fitting
      • Distributions
        • Probability-Probability Plots
          • Beta Distribution for Probability-Probability Plots
          • Exponential Distribution for Probability-Probability Plots
          • Extreme Value (Gumbel) Distribution for Probability-Probability Plots
          • Gamma Distribution for Probability-Probability Plots
          • Lognormal Distribution for Probability-Probability Plots
          • Normal Distribution for Probability-Probability Plots
          • Rayleigh Distribution for Probability-Probability Plots
          • Weibull Distribution for Probability-Probability Plots
        • Quantile-Quantile Plots
          • Beta Distribution for Quantile-Quantile Plots
          • Exponential Distribution for Quantile-Quantile Plots
          • Extreme Value (Gumbel) Distribution for Quantile-Quantile Plots
          • Gamma Distribution for Quantile-Quantile Plots
          • Lognormal Distribution for Quantile-Quantile Plots
          • Normal Distribution for Quantile-Quantile Plots
          • Rayleigh Distribution for Quantile-Quantile Plots
          • Weibull Distribution for Quantile-Quantile Plots
      • Fitting Options for Ternary Plots
      • Fitted Functions for Histograms
      • Mark Selected Subsets
      • Maximum Likelihood Method for Q-Q and P-P Plots
      • Method of Categorization
        • Method of Categorization (or Intervals)
        • Method of Categorization - Boundaries
        • Method of Categorization - Categories
        • Method of Categorization - Codes
        • Method of Categorization - Integer Mode
        • Method of Categorization - Unique Values
        • Method of Categorization - Multiple Subset
      • Mini-Formatting Toolbar
      • Negative Exponentially-Weighted Fitting
      • Outliers and Extremes
      • Parametric Curve
      • Spline Fitting
      • Suppressing Scale Values Near Scale Breaks
  • Working with Workbooks
    • Workbook Overview
      • What Is ActiveX?
      • ActiveX Documents
      • Analysis Workbook Overview
      • Multi item Display Overview
      • Input Spreadsheet Overview
    • Creating Workbooks
      • Inserting Files to a Workbook
    • Opening a Workbook
      • Workbook Tree Overview
      • Workbook Tab Character Length
      • Menus
        • File Menu
        • View Menu
        • Statistics Menu
        • Graphs Menu
        • Tools Menu
        • Working with Workbooks
          • Workbook - Insert
          • Workbook - Delete
          • Workbook - Rename
          • Workbook - Extract as Stand-alone Window - Copy
          • Workbook - Extract as Stand-alone Window - Original
          • Workbook - Save Item(s) As
          • Workbook - Cut Workbook Document
          • Workbook - Copy Workbook Document
          • Workbook - Paste As Workbook Document - As First Child
          • Workbook - Paste As Workbook Document - As Last Child
          • Workbook - Paste As Workbook Document - As Next Sibling
          • Workbook - Paste As Workbook Document - As Prior Sibling
          • Workbook - Use as Active Input
          • Workbook Item Print Orientation
          • Workbook - Tab Control - Bottom (One Row)_New
          • Workbook - Tab Control - Top (One Row)
          • Workbook - Tab Control - Left (Multiple Rows)
          • Workbook - Tab Control - Visible
          • Workbook - Tab Control - Tab Length
          • Workbook - Multi-Item Display - Refresh
          • Workbook - Multi-Item Display - Copy
          • Workbook - Multi-Item Display - Select All
          • Workbook - Multi-Item Display - Settings
          • Workbook - Multi-Item Display - Default Settings
          • Workbook - Lock User Interface
          • View - Events - View Code
          • View - Events - Autorun
          • View - Events - Password
          • Window Menu
          • Help menu
          • Workbook Tree - Drag-and-Drop
          • Workbook Tree - Cancel
          • Workbook Tree - Copy After
          • Workbook Tree - Copy As Child
          • Workbook Tree - Copy Before
          • Workbook Tree - Move After
          • Workbook Tree - Move As Child
          • Workbook Tree - Move Before
          • Copy Workbook Document
          • Cut Workbook Document
          • Delete
          • Export Graphs As - Pictures - File
          • Export Graphs As - Objects - New PowerPoint Presentation
          • Export Graphs As - Objects - New Word Document
          • Export Graphs As - Pictures - File
          • Export Graphs As - Pictures - New PowerPoint Presentation
          • Export Graphs As - Pictures - New Word Document
          • Extract as Stand-Alone Window - Original
          • Extract as Stand-Alone Window - Copy
          • Insert
          • Paste as Workbook Document - As First Child
          • Paste as Workbook Document - As Last Child
          • Paste as Workbook Document - As Next Sibling
          • Paste as Workbook Document - As Prior Sibling
          • Properties
          • Rename
          • Use as Active Input
          • Inserting Files to a Workbook
          • Extracting a File from a Workbook
          • Adding Items to a Workbook
            • Insert Workbook Item
            • Adding the Current Item to a Workbook
            • Adding the Current Item to a Workbook
            • Adding a Previously Saved Object to a Workbook
            • Adding a Folder to a Workbook
            • Adding a Document to a Workbook
              • Document Type
              • Adding a New Statistica Document to a Workbook
              • Adding a Saved Statistica Document to a Workbook
              • Adding a New ActiveX Document to a Workbook
          • Saving a Workbook
          • Printing a Workbook
          • Workbook Header/Footer
          • Workbook Item Print Orientation
          • Custom Header and Footer (for a Workbook)
          • Global Workbook Options
          • Workbook Drag-and-Drop Features
          • Rearranging the Workbook Tree with Drag-and-Drop
          • Using Copy and Paste in a Workbook
          • Workbook Clipboard Features
          • Renaming Workbook Items
          • Deleting Items from a Workbook
          • STATISTICA Workbook
          • FAQ
            • Can I add a folder to a workbook?
            • Can I print more than one item from a workbook without printing the entire workbook?
            • Can I rearrange the workbook tree with drag-and-drop?
            • Can I select discontinuous items in the workbook tree?
            • How do I add a new ActiveX document to a workbook?
            • How do I add a new Statistica document to a workbook?
            • How do I add a previously saved object to a workbook?
            • How do I add a saved Statistica document to a workbook?
            • How do I add the current item to a workbook?
            • How do I delete items from a workbook?
            • How do I rename workbook items?
            • How do I use copy and paste in a workbook?
  • Working with Reports
    • Report Overview
      • Report Tree Overview
      • Report Window Overview
      • Analysis Report Overview
    • CreatingReports
      • Creating a New Report
      • Adding Items to a Report
    • UsingReports
      • Opening a Report
      • Saving a Report
      • Menus
        • File Menu
        • Edit Menu
        • View Menu
        • Insert Menu
        • Format Menu
        • Statistics Menu
        • Graphs Menu
        • Tools Menu
        • Window Menu
        • Help menu
        • Shortcut
          • Center
          • Extract - Copy
          • Extract - Original
          • Font
          • Insert Documents
          • Left Justify
          • Object Properties
          • Properties
          • Rename
          • Right Justify
          • Show Tree
      • DIALOGS
        • Insert Documents
        • Insert Object
        • Links
        • Paragraph Format
        • Output Options
        • Tabs
      • Printing a Report
        • Report Print Layout
        • Using the Print Preview Window
        • Create a Custom Header or Footer
        • Custom Header and Footer (for a Workbook)
    • ModifyingReports
      • Global Report Options
      • Renaming Report Items
      • Rearranging Items in a Report with Drag-and-Drop
      • Using Cut, Copy, and Paste in a Report
    • Frequently Asked Questions
      • Can I append output from multiple sessions to the same report?
      • Can I combine text, tables, and graphs in one report?
      • Can I create a custom header or footer for my report?
      • Can I rename an item in a report?
      • Can I save my reports in HTM format?
      • Can I use Clipboard functions to rearrange items in the report tree?
      • Can I use drag-and-drop to rearrange items in the report tree?
      • How can I automatically print (or save to reports) all spreadsheets and/or all graphs from an analysis?
      • How can I print text/graphics reports from analyses?
      • How do I adjust margins in the reports?
      • How do I create a new report?
      • What is the difference between RTF and STR (STATISTICA Report) format?
      • What supplementary information is available with analyses and how can I add it to my reports?
  • Working with Macros (Statistica Visual Basic)
    • Statistica Visual Basic (SVB) Overviews
      • Macro (Statistica Visual Basic) Overview
      • Macro (SVB) Programs Window Overview
      • Statistica Visual Basic (SVB) Programming Environment
        • A Simple Message Box, and If..Then..End If Block
        • Performing Computations, Data Types, Subroutines, Functions
        • Collections vs. Arrays
        • The Variant Data Type
        • Global Variables, Passing Arguments By Value (ByVal) or By Reference (ByRef)
        • Objects, Methods, and Properties
      • The STATISTICA VB Object Model
        • A Simple Statistica Visual BASIC (SVB) Program
        • Macro (SVB) Programs Example - Retrieving a Collection of Spreadsheets
        • Macro (SVB) Programs Example - Accessing Results Spreadsheet Data
      • Statistica Libraries and Modules
        • Accessing Statistica Visual Basic Libraries
        • Macro (SVB) Programs Example - Accessing Multiple Modules in a Single Program
        • Speeding Up the Execution (Loading) of Statistica Visual Basic Programs by Removing Unnecessary References (Type Libraries)
      • Recording Simple Macro (SVB) Programs, Documenting an Analysis
        • Example - Recording a Simple Macro
        • Common Elements of Recorded Macro (SVB) Programs
      • Editing and Customizing Recorded Macro (SVB) Programs
        • Macro (SVB) Programs Example - Statistica Dialog Box for Selecting Data Files
        • Using Arrays of Values to Set the .Variables Property
        • Macro (SVB) Programs Example - Statistica Dialog Boxes for Selecting Variables
        • Macro (SVB) Programs Example - Customizing a Simple Descriptive Statistics Macro
        • Error Handling
      • Opening New Applications, Opening Files, Printing
        • Macro (SVB) Programs Example - Launching a New Statistica Application
        • Macro (SVB) Programs Example - Opening and Saving Statistica Documents
        • Macro (SVB) Programs Example - Printing Statistica Documents
      • Basic Functions for Editing Objects (Spreadsheets, Graphs, etc.)
        • Macro (SVB) Programs Example - Formatting Cells in Spreadsheets
        • Macro (SVB) Programs Example - Copying Cells from a Spreadsheet into a Report
        • Macro (SVB) Programs Example - Creating a Custom Spreadsheet
        • Macro (SVB) Programs Example - Customizing Graphs
        • Macro (SVB) Programs Example - Customizing Reports
        • Macro (SVB) Programs Example - Customizing Workbooks
      • Macro (SVB) Programs Example - Customizing Toolbars and Menus via Statistica Visual Basic
        • Macro (SVB) Programs Example - Adding a Custom Toolbar via a SVB Macro Program
      • Statistica Matrix and Statistical Function Libraries
        • Include File STB.svx and Statistica Visual Basic Library of Matrix Functions
        • Include File Graphics.svx
        • A Simple Example - Inverting a Matrix
        • Example - Accessing All Data in Spreadsheets via the .Data Property
        • Example - Accessing Variables (Columns) in Spreadsheets via the .VData(i) Property
      • Calling Statistica from Visual Basic in Other Applications (Excel, Word, etc.)
        • Macro (SVB) Programs Example - Accessing Statistica Visual Basic Functions from Microsoft Excel
        • Macro (SVB) Programs Example - Accessing Statistica Visual Basic Functions from Microsoft Word
    • General SVB Documentation
      • General Visual Basic Syntax Documentation - Interactive WinWrap Help Engine
        • Basic Rules for Simple SVB Programs
        • Statistica Visual Basic Syntax Reference - User-defined Functions and Subroutines
      • Variable and Function Naming Conventions
        • Declaring a Variable
          • Variables and Values of Variables
          • How Do I Assign a Value to a Variable?
        • Statistica Visual Basic Syntax Reference - User-defined Functions and Subroutines
          • Statistica Visual Basic Syntax Reference - User-defined Functions and Subroutines (Arguments)
          • Global Variables, Passing Arguments By Value (ByVal) or By Reference (ByRef)
          • How Do I Set (or Leave Unchanged) Default Values of Function Parameters?
      • How to Specify Arrays in Statistica Visual Basic Functions
        • Array Indexing
        • Redimensioning an Array
      • How Do I Specify a Conditional Instruction?
        • Advanced Conditional Expressions
      • Controlled Loops
        • Conditional Loops
      • Example - Recording an Analysis Macro
        • New Macro
        • Common Elements of Recorded Macro (SVB) Programs
        • Example - Recording a Simple Macro
        • Example - Recording a Simple Macro with Modal Dialog Specifications
      • Macro Type
        • Defining Class Modules and Object Modules
      • Debugging a Macro Program
        • Error Handling
        • Debugging/Logging
      • General Help Features of the Statistica VB Environment
        • Function Browser
        • Object Browser
        • References
      • Speeding Up the Execution (Loading) of Statistica Visual Basic Programs by Removing Unnecessary References (Type Libraries)
      • Calling Functions in External DLLs
      • How to use Strings in Statistica Visual Basic
        • Retrieving Lists of Strings in Statistica Visual Basic
        • Passing Lists of Strings to Statistica Visual Basic Functions
    • Macro (SVB) Program Examples
      • Are There Example Statistica Visual Basic Programs Included in the Package?
      • A Simple Statistica Visual BASIC (SVB) Program
      • A Simple Message Box, and If..Then..End If Block
      • Macro (SVB) Programs Example - Basic Spreadsheet Manipulation
        • Macro (SVB) Program Examples - Creating a Random Sized Spreadsheet
        • Macro (SVB) Programs Example - Resize a Spreadsheet
        • Macro (SVB) Programs Example - Auto-Fitting a Spreadsheet's Variable Columns
        • Macro (SVB) Programs Example - Converting a Spreadsheet's Data Type
        • Macro (SVB) Programs Example - Creating Sample Statistics (Descriptives and Correlations)
        • Macro (SVB) Programs Example - Creating a Custom Spreadsheet
        • Macro (SVB) Programs Example - Formatting Cells in Spreadsheets
        • Macro (SVB) Programs Example - Accessing Results Spreadsheet Data
        • Macro SVB Programs Examples - Searching a Spreadsheet's Cells for a Value
        • Macro (SVB) Programs Example - Inserting an Array into a Spreadsheet
        • Macro (SVB) Programs Example - Retrieving a Collection of Spreadsheets
        • Macro (SVB) Programs Example - Customizing a Simple Descriptive Statistics Macro
        • Macro (SVB) Programs Example - Accessing Multiple Modules in a Single Program
        • Macro (SVB) Programs Example - Creating a Cell-Function Spreadsheet
        • Macro (SVB) Programs Example - Creating a Self-Updating Dataset
      • Graphs
        • Macro (SVB) Programs Example - Creating and Customizing Box-Plots
        • Macro (SVB) Programs Example - Accessing and Customizing Graphs
        • Macro (SVB) Programs Example - Creating User-Defined Custom Functions
        • Macro (SVB) Programs Example - Customizing Graphs
        • Macro (SVB) Programs Example - Creating and Customizing Graph Objects
        • Macro (SVB) Programs Example - Graph Function Library
      • Reports
        • Macro (SVB) Programs Example - Customizing Reports
        • Macro (SVB) Programs Example - Copying Cells from a Spreadsheet into a Report
      • Workbooks
        • Macro (SVB) Programs Example - Customizing Workbooks
        • Macro (SVB) Programs Example - Inserting All Open Windows into a Workbook
      • Statistica Interface
        • Macro (SVB) Programs Example - Launching a New Statistica Application
        • Macro (SVB) Programs Example - Adding a Custom Toolbar via a SVB Macro Program
        • Macro (SVB) Programs Example - Opening and Saving Statistica Documents
        • Macro (SVB) Programs Example - Printing Statistica Documents
        • Macro (SVB) Programs Example - Statistica Dialog Box for Selecting Data Files
        • Macro (SVB) Programs Example - Statistica Dialog Boxes for Selecting Variables
        • Macro (SVB) Programs Example - Writing a Custom Statistica Application with User-Defined Dialog Boxes
        • Macro (SVB) Programs Example - Displaying a Progress Bar
      • Statistica Query
        • Macro (SVB) Program Examples - Creating a Statistica Query Toolbar
        • Macro (SVB) Program Examples - Running a Query via a Macro
      • Other Environments
        • Macro (SVB) Programs Example - Accessing Statistica Visual Basic Functions from Microsoft Excel
        • Limitations and Differences between SVB and Visual Basic in Other Applications
    • CustomDialogs
      • Custom Dialog Boxes; Custom User Interfaces
      • Servicing Complex Dialog Boxes via Dialog Functions (DialogFunc)
      • Servicing Option Buttons, Options Buttons, List Boxes, etc.
      • Macro (SVB) Programs Example - Writing a Custom Statistica Application with User-Defined Dialog Boxes
      • A Simple Dialog Box in Statistica Visual Basic
      • Dialogs
        • UserDialog Editor
        • Object Browser
        • Function Browser
        • Grid Settings
        • References
    • Controlling Statistica Events with SVB Programs
      • Macro Event Behavior
      • Document Events
        • Document-Level Events Example
        • Spreadsheet Document-Level Events
        • Workbook Document-Level Events
        • Graph Document-Level Events
        • Report Document-Level Events
        • Events Warning
      • Application-Level Events
        • Application-Level Events Example
      • Events
        • Analysis-Level Events Example
        • Document-Level Events Example
        • Analysis-Level Events Example
        • Macro (SVB) Programs Example - Creating a Cell-Function Spreadsheet
        • Macro (SVB) Programs Example - Creating a Self-Updating Dataset
    • Recording Macros
      • Recording Simple Macro (SVB) Programs, Documenting an Analysis
      • Common Elements of Recorded Macro (SVB) Programs
      • Recording Macros - Automatic Programming
      • Recording Analysis Output
      • Recording Case Selection Conditions and Case Weights
      • Recording Data File Selections
      • Recording Data Editing Operations
      • Master Macros
      • Placing Results in Workbooks, Reports, Etc., via the RouteOutput Method
      • Error Handling of Recorded Macros
        • Analysis Warnings
        • Non-Fatal Errors (Warnings) that Occur
      • Recording Macro Examples
        • Example - Recording a Simple Macro
        • Example - Recording an Analysis Macro
        • Example - Recording a Simple Macro with Modal Dialog Specifications
    • Matrix Library of SVB Functions
      • Statistica Visual Basic Matrix Language - Overview
      • Statistica Visual Basic Library of Matrix Functions
      • Accessing the Matrix Library via the MatrixObject
      • A Simple Example - Inverting a Matrix
      • Matrix Functions
        • Statistica Visual Basic Library of Matrix Functions - Dim Array_Name (XDim, ...)
        • Statistica Visual Basic Library of Matrix Functions - LOWESS (VectorX, VectorY, SmoothF, Nsteps, Delta, VectorXSorted, VectorYSmooth, VectorRWeights, VectorResiduals)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCombineVert (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixAdd (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixAllNonZero (Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixAnyNonZero (Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCholeskyDecomposition (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCombineHoriz (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCopy (SrcMatrix, SrcRow, SrcCol, ?NoOfRows, ?NoOfCols, DestMatrix, DestRow, DestCol)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCorrelations (Matrix, Intercept, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixCrossProductOfDev (Matrix1, Intercept, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixDet (Matrix, Result)
        • Statistica Visual Basic Library of Matrix Functions - MatrixDisplay (Matrix, ?Title$)
        • Statistica Visual Basic Library of Matrix Functions - MatrixDuplicate (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixEigenValues (Matrix, Eigenvalues, NumEigen)
        • Statistica Visual Basic Library of Matrix Functions - MatrixEigenVectors (Matrix, Eigenvalues, Eigenvectors, NumEigen)
        • Statistica Visual Basic Library of Matrix Functions - MatrixElemAdd (Matrix, Scalar, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixElemDivide (Matrix, Scalar, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixElemMultiply (Matrix, Scalar, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixElemSubtract (Matrix, Scalar, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixExtract (Matrix, Row, Column, ?NoOfRows, ?NoOfCols, SubMatrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixFill (Scalar, DestMatrix, DestRow, DestCol, ?NoOfRows, ?NoOfCols)
        • Statistica Visual Basic Library of Matrix Functions - MatrixGeneralPseudolnverse (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixGetColumn (Matrix, Column, ColVector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixGetDiagonal (Matrix, DiagVector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixGetRow (Matrix, Row, RowVector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixGramSchmidtOrt (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIdentity (Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixInverse (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsEqual (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsGreater (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsGreaterEqual (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsLess (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsLessEqual (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixIsNotEqual (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixKroneckerMultiply (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixLogicalAnd (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixLogicalNot (Matrix1, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixLogicalOr (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixMeans (Matrix, Vector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixMultiply (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixRank (Matrix, Result)
        • Statistica Visual Basic Library of Matrix Functions - MatrixRead (FileName$, Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixReadFromDataFile (FileName$, ?FirstCase, ?FirstVar, ?NoOfCases, ?NoOfVars, Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSetColumn (Matrix, Column, ColVector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSetDiagonal (Matrix, DiagVector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSetRow (Matrix, Row, RowVector)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSetToZero (Matrix)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSingularValues (Matrix, SingularValues)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSingularValuesDecomp (Matrix, U, W, V)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSolve (Matrix, MatrixSolution, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSubtract (Matrix1, Matrix2, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSumOfSquares (Matrix, Result)
        • Statistica Visual Basic Library of Matrix Functions - MatrixSweep (Matrix, From, To, Dir)
        • Statistica Visual Basic Library of Matrix Functions - MatrixTrace (Matrix, Result)
        • Statistica Visual Basic Library of Matrix Functions - MatrixTranspose (Matrix, MatrixResult)
        • Statistica Visual Basic Library of Matrix Functions - MatrixWrite (FileName$, Matrix)
        • Statistica Visual Basic Library of Matrix Functions - NewScrollsheet (?NoOfRows, ?NoOfColumns, Array, ?Title$, ?RowNames$, ?ColumnNames)
        • Statistica Visual Basic Library of Matrix Functions - ReDim Array_Name (XDim, ...)
        • Statistica Visual Basic Library of Matrix Functions - ScrollsheetGetMatrix (Handle, Row, Column, Matrix)
        • Statistica Visual Basic Library of Matrix Functions - ScrollsheetSetMatrix (Handle, Row, Column, Matrix)
        • Statistica Visual Basic Library of Matrix Functions - VectorDualSort (Vector, IndexVector, Direction)
        • Statistica Visual Basic Library of Matrix Functions - VectorRank (Vector, Direction, DupControl)
        • Statistica Visual Basic Library of Matrix Functions - VectorSort (Vector, Direction)
        • Statistica Visual Basic Library of Matrix Functions - Wishart
    • Menus
      • File Menu
      • Edit Menu
      • View Menu
      • Debug
        • Debug - Step Into
        • Debug - Step Over
        • Debug - Step Out
        • Debug - Run To Cursor
        • Debug - Add Watch
        • Debug - Quick Watch
        • Debug - Toggle Breakpoint
        • Debug - Clear All Breakpoints
        • Debug - Set Next Statement
        • Debug - Show Next Statement
      • Run
        • Run - Run Macro
        • Run - Break
        • Run - Reset
      • Statistics Menu
      • Graphs Menu
      • Tools Menu
      • Workbook Menu
      • Window Menu
      • Help menu
    • Importing STB/SCL
      • Importing Version 5.x STB Programs to Statistica Visual Basic (Technical Notes)
      • Importing Version 5.x SCL Programs to Statistica Visual Basic (Technical Notes)
      • STB Import Warning
      • SCL Import Warning
    • Migrating from StaDev to Statistica's COM Architecture
      • StaDev Functions
        • StaAddCases
        • StaAddLabel
        • StaAddVars
        • StaCloseFile
        • StaCreateFile
        • StaDeleteCases
        • StaDeleteLabel
        • StaDeleteLabelForValue
        • StaDeleteVars
        • StaGetAllMD
        • StaGetCaseData
        • StaGetCaseName
        • StaGetCaseNameLength
        • StaGetData
        • StaGetFileHeader
        • StaGetLabelForValue
        • StaGetLongLabelForValue
        • StaGetNCases
        • StaGetNumVarLabels
        • StaGetNVars
        • StaGetValueForLabel
        • StaGetVarFormat
        • StaGetVarLabelByIndex
        • StaGetVarLongName
        • StaGetVarMD
        • StaGetVarName
        • StaOpenFile
        • StaSetCaseData
        • StaSetCaseName
        • StaSetCaseNameLength
        • StaSetData
        • StaSetFileHeader
        • StaSetVarFormat
        • StaSetVarLongName
        • StaSetVarMD
        • StaSetVarName
    • Statistica Programming in C++ Overview
      • Exporting a Spreadsheet as Text in C++
      • Running Basic Statistics in C++
      • Creating a Statistica Add-In
      • Installing an Add-In
      • ProgID
    • Statistica Programming in C# Overview
      • Creating and Editing a Box & Whisker Plot in C#
    • Statistica Programming in VB.NET Overview
      • Sending Custom Statistics to Statistica in VB.NET
    • Statistica Programming in Delphi Overview
      • Running Descriptive Statistics in Delphi
    • FAQ
      • General Introduction to Statistica Visual Basic
        • What is Statistica Visual Basic (SVB)?
        • What are some of the applications of SVB?
        • I know nothing about Visual Basic or programming; where do I start?
        • How do I access SVB?
        • What does a simple SVB program look like?
        • What is meant by the term "object model?"
        • What are properties, what are methods?
      • Recording Macros Recording an Analysis into a Statistica Visual Basic Program
        • How can I record my analysis in an SVB program?
        • How can I record an Analysis Macro?
        • What exactly is recorded in Analysis Macros?
        • How can I record a Master Macro (Log of Analyses)?
        • What exactly is recorded in Master Macros?
        • How do I execute an SVB program from within Statistica?
      • Components of Recorded Macros SVB Programs Case Selection Conditions Output Options
        • How are case selection conditions and case weights handled in recorded macros?
        • How are output options handled in recorded macros?
        • How can I speed up the execution (loading) of Statistica Visual Basic programs by removing unnecessary references (type libraries)?
        • What are the major "components" in a typical SVB macro program?
        • What are the names for the Statistica reference libraries (modules)?
      • General Statistica Visual Basic Language Features Data Types Subroutines Functions Classes Objects
        • Which data types are supported in SVB?
        • How do I assign a value to a variable?
        • What are collections?
        • How do I specify a conditional instruction (if ... then)?
        • How do I execute an expression in a loop?
        • I already know about Visual Basic; Does SVB support advanced language features?
        • What are subroutines and functions?
        • What is the difference between passing variables to subroutines and functions by value and by reference?
        • What are local variables vs. global variables?
        • Can I define my own class modules and object modules?
        • Can I expand my SVB by calling external DLLs?
      • Statistica Visual Basic Development Environment
        • Does the SVB environment provide tools for debugging?
        • How can I get on-line help?
        • What is the Function Browser?
        • How are errors handled during the execution of an SVB program?
        • How are non-fatal errors (warnings) handled during the execution of an SVB program?
        • Does SVB include a "Dialog Painter"?
      • Using SVB To Manage Statistica Analyses DataFiles Results Spreadsheets Graphs
        • How is SVB integrated with Statistica data (input), analyses and output?
        • How can I access results spreadsheets, graphs, workbooks, etc.?
        • How can I create a blank graph, and set data directly into the graph?
        • What is the RouteOutput method; what is the AnalysisOutput object?
        • Which kind of output can I create with SVB?
        • How can I change the font (or other aspects) of numbers in spreadsheets?
        • How can I modify the appearance of graphs (e.g., axis labels) from within SVB?
        • How can other aspects of graphs be modified?
        • Can I use SVB to develop "extensions" of Statistica and my own new "modules?"
        • How can I attach a macro program to a toolbar button (keyboard command, or menu option)?
      • Running Statistica Visual Basic Programs from Other Applications
        • Can I execute an SVB program from within other Visual Basic compatible applications?
        • How can I run a Statistica analysis from Microsoft Excel?
      • Handling Large Computational Problems Matrix Operations
        • What is the capacity of SVB, and can it handle large computational problems?
        • Does SVB support matrix operations?
        • How can I use the data in a spreadsheet with matrix functions? (How do I copy data efficiently from spreadsheets to matrices, and back?)
      • Creating and Managing Custom Dialogs in Statistica Visual Basic
        • Can I create custom dialogs and other interactive user input controls in SVB?
        • How are the different controls in custom dialogs "serviced?"
      • Customizing the Appearance and Behavior of Statistica via Statistica Visual Basic
        • What are application events and how can they be controlled from SVB?
        • How can I create a cell-function spreadsheet using spreadsheet events?
        • Can I customize the toolbars and menus via SVB?
  • Working with Statistica Query
    • Query Overview
      • Statistica Query - Quick, Step-by-Step Instructions
      • Statistica Query - Streaming of Data on Remote Servers
        • Streaming database connector technology (technical overview)
        • Streaming database connector FAQs
    • Graphic Mode vs. Text Mode
    • Graphic Mode Overview
      • Field Sequence Tab
      • Criteria Tab
      • SQL Statement Tab
      • Preview Data Tab
    • Text Mode Overview
      • Additional Functionality Available in Text Mode
    • Join Overview
      • Join Operators
    • Criteria Overview
      • Criteria Operators
    • Select Database Query
      • Table - Add
      • Query Properties
      • Global Options
      • Query Options
    • Database Connection
      • Edit Database Connection
    • Add Join
      • Edit Join
    • Add Criteria
      • Select Value(s)
      • Edit Criteria
    • Returning External Data to Spreadsheet
      • External Data Range Properties
      • Query - Retrieving Data
    • Query File Menu
      • File - New
      • File - Open
      • File - Save
      • File - Save As
      • File - Return Data to STATISTICA
      • File - Cancel and Return to STATISTICA
    • Query Edit Menu
      • Edit - Undo
      • Edit - Cut
      • Edit - Copy
      • Edit - Paste
      • Edit - Delete
      • Edit - Select All
      • Edit - Query Properties
      • Edit - Global Options
    • Query View Menu
      • View - Toolbar
      • View - Status Bar
      • View - Graphic Mode
      • View - SQL and View - Cube/MDX (Beta)
      • View - Refresh Preview Data
      • View - More Preview Data
      • View - Automatically Preview Data
      • View - Suppress Blank MDX Data
    • Query Table Menu
      • Table - Add
      • Table - Remove
      • Table - Remove All
    • Query Join Menu
      • Join - Add
      • Join - Remove
      • Join - Edit
      • Join - Remove All
    • Query Criteria Menu
      • Criteria - Add
      • Criteria - Remove
      • Criteria - Remove
      • Criteria - Edit
      • Criteria - Remove All
    • Query Help Menu
      • Help - Contents and Index
      • Help - About Statistica Query
    • Example - Querying a Database Using ODBC
    • Example - Querying a Database Using OLE DB
    • Can I save a query and use it later on another data set?
      • Can I use more than one query on a data file?
      • How do I add joins or criteria to my query?
      • How do I retrieve external data via Statistica Query?
      • How do I set up a database connection using the OLE DB provider for ODBC?
      • How do I set up a database connection using the Statistica spreadsheet OLE DB provider?
      • What is SQL?
      • What is the difference between graphic mode and text mode in Statistica Query?
      • What is the difference between ODBC and OLE DB?
  • Command Line Options Overview
    • General Parameters
    • Debug Logging
    • Installation/Startup
    • Statistica Enterprise Related Parameters
  • Statistica Projects Overview
    • Statistica Projects FAQ
    • Save as Statistica Project
    • Open Statistica Project
    • File - Close Project
  • Customizing Statistica
    • Customizing Statistica Overview
      • Customizing STATISTICA - Keyboard
      • Customizing STATISTICA - Macros
      • Customizing STATISTICA - Toolbars and Menus
      • Customizing STATISTICA - Interactive User Interface
      • Customizing Statistica - Documents
      • Customizing STATISTICA - Local vs. Permanent Customizations
      • Customizing Statistica - General Defaults
      • Customizing Statistica - Graphs
      • Maintaining Different Configurations of STATISTICA
      • Customized Configurations for Individual Users on a Network
    • Customizing STATISTICA - Toolbar Overview
      • Graphs Toolbar
        • 2D Histogram Button
          • 2D Scatterplot Button
          • 2D Means with Error Plots Button
          • Box Plot Button
          • Range Plot Button
          • Scatter Icon Plots Button
          • Scatter Image Plots Button
          • 2D Scatterplots with Histograms Button
          • 2D Scatterplots with Box Plots Button
          • Probability Plot Button
          • Quantile-Quantile Plot Button
          • Probability-Probability Plot Button
          • Click the Bar/Column Plot Button
          • 2D Line Plot Button
          • 2D Line / Case Profiles Button
          • 2D Stacked Plot Button
          • Pie Chart Button
          • Missing Data / Range Plot Button
        • 3D Raw Data Plot Button
          • 3D Histogram Button
          • 3D Range Plot Button
          • 3D Box Plot Button
        • 3D Scatterplot Button
          • 3D Scatter Image Plots Button
          • 3D Surface Button
          • 3D Contour Button
          • 3D Ternary Plot Button
        • Matrix Plots Button
        • Icon Plots Button
        • Categorized Histogram Button
          • Categorized Scatterplot Button
          • Categorized Means with Error Plots Button
          • Categorized Box Plot Button
          • Categorized Probability Plot Button
          • Categorized Quantile-Quantile Plot Button
          • Categorized Probability-Probability Plot Button
          • Categorized Line Plot Button
          • Categorized Pie Chart Button
          • Categorized Missing Data / Range Plot Button
          • Categorized 3D Plot Button
          • Categorized 3D Ternary Plot Button
      • Graph Tools Toolbar
        • Graphic Styles Box
        • Brushing Tool Button
        • 3D Rotation Control Button
        • Display Graph Fit to Window Button
        • Display Graph at Actual Size Button
        • Adjust the Graph Actual Size/Scaling Button
        • Set Graph Area Button
        • Snap to Grid Button
        • Zoom In Button
        • Zoom Out Button
        • Zoom Pan Button
        • Reset Zoom Button
        • Selection Tool Button
        • Text Button
        • Rectangles Button
        • Rounded Rectangles Button
        • Ellipse Button
        • Arcs Button
        • Polygon Button
        • Arrow, Custom Bar Button
        • Insert Object Button
        • Line Pattern/Color Button
        • Area Pattern/Color Button
        • Move to Front Button
        • Move to Back Button
        • Increase Font Button
        • Decrease Font Button
      • Statistics Toolbar
        • Resume Button
        • Macro Button
        • Basic Statistics/Tables Button
          • Multiple Regression Button
          • ANOVA/MANOVA Button
          • Nonparametric Statistics Button
          • Distribution Fitting Button
        • Cluster Analysis Button
          • Factor Analysis Button
          • Principal Components and Classification Analysis Button
          • Canonical Analysis Button
          • Reliability/Item Analysis Button
          • Classification Trees Button
          • Correspondence Analysis Button
          • Multidimensional Scaling Button
          • Discriminant Analysis Button
          • General Discriminant Analysis Button
        • General Linear Models Button
          • Generalized Linear/Nonlinear Models Button
          • General Regression Models Button
          • Partial Least Squares Button
          • Variance Components Button
          • Survival Analysis Button
          • Nonlinear Estimation Button
          • Fixed Nonlinear Regression Button
          • Log-Linear Analysis Button
          • Time Series Button
          • SEPATH Button
        • Quality Control Charts Button
          • Process Analysis Button
          • DOE Button
          • Six Sigma Button
        • Power Analysis Button
        • General Slicer/Dicer Explorer with Drill-Down Button
          • General Classifier (Trees and Clusters) Button
          • General Modeler and Multivariate Explorer Button
          • General Forecaster Button
          • General Neural Network Explorer Button
          • General Classification/Regression Trees Button
          • CHAID Button
          • Generalized Additive Models Button
      • Standard Toolbar
        • New File Button
        • Open File Button
        • Save File Button
        • Print Button
        • Print Preview Button
        • Copy (Block) Button
        • Copy (Block) Button
        • Paste (Block) Button
        • Format Painter Button
        • Undo Button
        • Redo Button
        • Find Button
        • Replace Button
        • Add to Workbook Button
        • Add to Report Button
        • Help Topics Button
        • Context Sensitive Help Button
      • Six Sigma Toolbar
        • Define Button
        • Measure Button
        • Analyze Button
        • Improve Button
        • Control Button
        • Six Sigma Calculator Button
      • Status Bar
        • Progress Bar
        • Message Area
        • Name Box
        • Show Field
        • Case Selection Conditions
        • Case Weights
        • Caps Lock
        • Num Lock
        • Macros Recording Status
      • Spreadsheet Toolbar
        • Font Name and Font Size
        • Character Formatting Buttons
        • Paragraph Formatting Buttons
        • Format Cells Button
        • Font Color Button
        • Fill Color Button
        • Format Menu Button
        • Show/Hide Text Labels Button
        • Show/Hide Case Names Button
        • Increase Decimal Button
        • Decrease Decimal Button
        • Show/Hide Marked Cells Button
        • Show Selection Conditions Button
        • Selection Conditions On/Off Button
        • Define Weight Button
        • Sort Button
        • Recalculate Spreadsheet Formulas Button
        • Global Operations on Variables Button Menu
        • Global Operations on Cases Button
      • Tools Toolbar
        • Mark (Selected Cells) Button
        • Unmark (Selected Cells) Button
        • New Mark Button
        • Unmark All Button
        • Select - Include Button
        • Select - Exclude Button
        • New Selection Condition Include Button
      • Report Toolbar
        • Font Name and Font Size
        • Character Formatting Buttons
        • Paragraph Formatting Buttons
        • Font Color Button
        • Fill Color Button
        • Font Dialog Button
      • Macro Toolbar
        • User Dialog Button
        • Object Browser Button
        • Function Browser
        • Run Macro Button
        • Pause Button
        • Reset Button
        • Step Into Button
        • Step Over Button
        • Step Out Button
        • Run to Cursor Button
        • Add Watch Button
        • Quick Watch Button
        • Breakpoint Toggle Button
        • Clear All Breakpoints Button
        • Set Next Statement Button
        • Record Macro Button
      • STATISTICA Query Toolbar
        • New Query Button
        • Open Query Button
        • Save Query Button
        • Cut Button
        • Copy Button
        • Paste Button
        • About Button
        • Help Topics Button
        • Context Sensitive Help Button
        • Return Data to STATISTICA Button
        • Switch Mode Button
      • Graph Data Editor Toolbar
        • Open the Graph Options Dialog Button
        • Open the Plot Layout Dialog Button
        • Display Calculated Graph Data Associated with this Plot Button
        • Add a New Plot Button
        • Toggle Mark Data Points (Brushing) Button
        • Mark Data Points (Brushing) Button
        • Unmark Data Points (Brushing) Button
        • Toggle Label Data Points (Brushing) Button
        • Label Data Points (Brushing) Button
        • Unlabel Data Points (Brushing) Button
        • Toggle Data Points (Temporarily) On/Off Button
        • Turn Off (Temporarily) Data Points Button
        • Turn Back On Data Points Button
        • Toggle Highlight Data Points (Brushing) Button
        • Highlight Data Points (Brushing) Button
        • Dehighlight Data Points (Brushing) Button
        • Reset Data Points (Brushing) Button
    • Customizing STATISTICA - Menus Overview
      • File Menu
      • Edit Menu
      • View Menu
      • Insert Menu
      • Format Menu
      • Layouts Menu
      • Statistics Menu
      • Data Mining Menu
      • Graphs Menu
      • Tools Menu
      • Workbook Menu
      • Data Menu
      • Window Menu
      • Help menu
      • Customizing STATISTICA - Application Frame Menus
      • Customizing STATISTICA - Shortcut Menus
      • Options Menu
    • Customizing STATISTICA - Commands Overview
    • Getting Started
      • Create a New Toolbar
      • Customizing Toolbars
      • Customizing Menus
      • Toolbar and Menu Appearance
      • Assign/Remove Keyboard Shortcut Keys
    • Customize
      • Customize - Command/Macros Tab
      • Customize - Toolbars Tab
      • Toolbar Name
      • Customize - Menu Tab
      • Customize - Keyboard Tab
      • Customize - Options Tab
      • Button Appearance
      • Edit Button Image
    • Options
      • Options - General
      • Options - Analyses/Graphs: Display
        • Options - Analyses/Graphs: Limits
        • Options - Analyses/Graphs: Output Manager
      • Options - Documents/Spreadsheets: Navigation/Defaults
      • Options - Documents/Spreadsheets: Warnings
      • Options - Documents/Graphs: Display
      • Options - Documents/Graphs: Settings
      • Options - Documents/Graphs: Rendering
      • Options - Documents: Workbooks
      • Options - Documents: Macros
      • Options - Documents: Reports
      • Options - Documents: Workspaces
      • Options - Documents: Streaming DB Connector
      • Options - Configurations
      • Options - Custom Lists
      • Options - Import
      • Options - Server/Web
      • Options - SharePoint
      • Options - R Integration
      • Customize - Background Tab
      • Options - Windows
  • About Statistica
    • About Statistica - Analytic Facilities
    • About Statistica - Unique Features
    • About Statistica - The General Philosophy of the Statistica Approach
    • About Statistica - Software Technology
    • Web Enablement - Statistica Enterprise Server
    • About Statistica - Record of Recognition
    • Document Types
    • Features of Analyses
    • Introductory example - correlations
    • Borrowing Licenses
    • Temporary Statistica License Period has Ended
      • Statistica License Registration
      • Statistica Registration Instructions
  • Statistica Decisioning Platform
    • Weight of Evidence (WoE) Overview
      • Weight of Evidence (WoE)
        • WoE Settings
        • Interaction Terms
        • Custom Split Groups
        • Customize Groups for a Categorical Variable
      • Add/Delete Variables after Computing Groups
      • Weight of Evidence (WoE) Technical Notes
      • Weight of Evidence (WoE) example
    • Rules Builder Overview
      • Rules Builder
        • Edit Parameters
        • Text Syntax
        • Edit If Condition
        • Edit Formula
        • Choose Model
        • Import Rules
        • Push Array
        • Array Min Max
        • Edit Comment
    • Overview: Batch Processing Using Workflows and Statistica Enterprise Server
  • Enterprise Systems
    • Statistica Enterprise
    • Statistica Data Miner
    • Web Enablement - Statistica Enterprise Server
    • Knowledge Portal (an Interactive Output Portal)
  • Data Mining with Statistica
    • Auto-Updating (Running) Workspace Projects (example, When the Data Change)
    • Controlling the Flow of Data through Nodes: Some Special Issues and Considerations
    • Data Mining with Statistica Data Miner
    • Data Mining Overview
    • Data Mining Very Large Data Sets (Databases): Scalability of Statistica Data Miner
    • Data Warehousing
    • Exploratory Data Analysis (EDA) and Data Mining Techniques
    • Getting Started with Statistica Data Miner
    • Global Dictionary
    • How to Write Custom Workspace Nodes
    • On-Line Analytic Processing (OLAP)
    • Statistica Data Miner Summary
    • Structure and user interface of Statistica Data Miner
    • The Client-Server Version of  Statistica Data Miner and Data Mining via Statistica Enterprise Server
    • Using Statistica Data Miner with Extremely Large Data Sets
    • Using C/C++, C#, and Java Code for Deployment
    • Working with Text Variables and Text Values: Ensuring Consistent Coding
    • Data Mining - Workspaces Menu Commands
      • View
        • View - Show Node Identifiers
        • View - Align Icons
      • Run
        • Run - Run All Nodes
        • Run - Run Modified Nodes
        • Run - Run to Selected Node
        • Run - Stop
      • Nodes Menu
        • Nodes - Node Browser
        • Nodes - Choose Input Data Source
        • Nodes - Rename
        • Nodes - New Connection
        • Nodes - Variable Selection
        • Nodes - View Document
        • Nodes - Edit Code
        • Nodes - Edit Parameter Values
        • Nodes - Disable Selected Connection
        • Nodes - Embed Document on Save
        • Nodes - Review Description
        • Nodes - Open Input Document Read-Only
      • Tools
        • Tools - Node Browser
        • Tools - Wizard
        • Tools - Global Dictionary - Edit Global Dictionary
          • Tools - Global Dictionary - Clear Global Dictionary
        • Tools - Clear Text Values
        • Statistica Workspace Toolbar
    • Statistica Workspace
      • Node Browser
      • New Browser
      • Browser Options
      • Select Spreadsheet or In-Place DB Document
      • Select Dependent Variables and Predictors
        • Select Dependent Variables and Predictors - Quick Tab
        • Select Dependent Variables and Predictors - Advanced Tab
      • Large Variable List for Input
      • Add New Parameters
      • Edit Parameters
      • Edit Text
      • Enter a Name for the New Node
      • Connect Embedded Data to a Disk File
      • Warning: Ensure Consistent Coding for Deployment
    • Data Miner Nodes Dialogs
      • Statistics
        • Descriptive Statistics
          • Correlation Matrices
          • t-Test, Independent, by Groups
          • t-Test for Independent Samples, by Variables
          • t-Test, Dependent Samples
          • t-Test, Single Sample
          • Frequency Tables
          • Breakdown and One-Way ANOVA
          • Breakdown Non-Factorial Tables
          • Crosstabulation Tables
          • Stub and Banner Tables
          • Testing Differences: r, Percent, Mean
          • User-Defined 2 x 2 Tables
        • Standard Multiple Regression
          • Stepwise Multiple Regression
        • Main Effects ANOVA
          • Factorial ANOVA
          • Repeated Measures ANOVA
        • Observed vs. Expected Chi-Square
          • Correlations (Spearman, Kendall Tau, Gamma)
          • Comparing Two Independent Samples (Groups)
          • Comparing Multiple Indep. Samples (Groups)
          • Comparing Two Dependent Samples (Variables)
          • Comparing Multiple Dep. Samples (Variables)
        • Distribution Fitting
        • Advanced Linear and Nonlinear Models
          • General Linear Models
            • Main Effects Linear Models
            • Factorial ANCOVA MANCOVA Models
            • Repeated Measure Models
            • Response Surface and Mixture Models
            • Generalized Linear Models
          • Generalized Linear and Nonlinear Models
            • Stepwise and Best Subset Probit Regression
            • Stepwise and Best Subset Logit Regression
            • Generalized Linear Models
          • General Regression Models
            • Best-Subset and Stepwise Regression
            • Best-Subset and Stepwise ANCOVA
            • General Best-Subset and Stepwise Regression
          • General Partial Least Squares Models
            • PLS Regression Models
            • General PLS Models
          • NIPALS Algorithm (PCA/PLS)
            • NIPALS Algorithms Deployment
            • NIPALS Algorithm for PCA
            • NIPALS Algorithm for PLS
          • Variance Components
          • Survival Analysis
            • Life Tables and Distributions
            • Kaplan-Meier Product-Limit Method
            • Comparing Survival in Two Groups
            • Comparing Survival in Multiple Groups
            • Regression Models
          • Nonlinear Estimation
            • Quick Logit Regression
            • Quick Probit Regression
            • User Specified Regression, Least Squares
            • User Specified Regression and Loss Function
          • Log-Linear Analysis
          • Time Series and Forecasting
            • Time Series Plots
            • Single-Series Transformations (x=f(x))
            • Two-Series Transformation (x=f(x,y))
            • Differencing, Time Series Transformations
            • Smoothing Transformations
            • Simple Fourier-Type Transformations
            • Autocorrelations and Crosscorrelations
            • Distributed Lags Analysis
            • Exponential Smoothing
            • ARIMA Models
            • Interrupted ARIMA
            • Single Series Spectral (Fourier) Analysis
            • Two Series Spectral (Fourier) Analysis
            • Seasonal Decomposition (Census I)
            • X11/Y2K Census Method II Monthly
            • X11/Y2K Census Method II Quarterly
          • Structural Equation Modeling
        • Multivariate Exploratory Techniques
          • Cluster Analysis
            • K-Means Clustering
            • Tree Clustering (Joining)
            • Two-Way Joining Clustering
          • Factor Analysis
          • Principal Components and Classification Analysis
          • Canonical Analysis
          • Reliability and Item Analysis
          • Classification Trees
            • Classification from Ordered Predictors
            • Classification from Categorical and Ordered Predictors
            • Exhaustive (C and RT) Search for Univariate Splits
          • Correspondence Analysis (CA)
            • Multiple Correspondence Analysis (MCA)
          • Multidimensional Scaling
          • Standard Discriminant Analysis
            • Stepwise Discriminant Analysis
          • General Discriminant Analysis Models
            • Best-Subset and Stepwise GDA ANCOVA
            • General Best-Subset and Stepwise Discriminant Analysis
        • Industrial Statistics and Six Sigma
          • Quality Control Charts
            • X and MR Chart for Variables, SixGraph Summary
            • X-Bar and R or S Chart for Variables, SixGraph summary
            • MA X-Bar and R or S Chart for Variables
            • EWMA X-Bar and R or S Chart for Variables
            • Attribute Charts (C, U, Np, p)
            • CuSum Chart for Observations
            • Pareto Chart
            • Multiple Stream Process (MSP) X-Bar and R or S Group Control Chart (GCC)
            • Multiple Stream Process (MSP) X and MR Chart for Variables
            • Multiple Stream Process (MSP) Attribute Charts (C, U, Np, p)
            • Hotelling T-Square Control Chart (HTS)
          • PLS, PCA, Multivariate Batch SPC
            • Multivariate Statistical Processing Control Deployment
            • Principal Component Analysis
            • Partial Least Squares
            • Batch-Wise Multi-Way Partial Least Squares
            • Time-wise Multi-way Principal Component Analysis
            • Time-Wise Multi-Way Partial Least Squares
          • Process Analysis
            • Process Capability Analysis
            • Generate Gage R and R Design
            • Analyze Gage R and R Experiments
            • Gage Linearity
            • Sampling Plans
            • Weibull and Reliability/Failure Time Analysis
            • Weibull Probability Paper
            • Cause-Effect (Ishikawa, Fishbone) Diagrams
          • Experimental Design (DOE)
            • 2**(K-p) Standard Design Creation
            • 2-Level Screening (Plackett-Burman) Design Creation
            • 2**(k-p) Max. Unconfounded and Min. Aberration Design Creation
            • Mixed 2 and 3 Level Design Creation
            • 3**(K-p) and Box-Behnken Design Creation
            • Central Composite Design Creation
            • Latin Square Design Creation
            • Taguchi Robust Design Creation
            • Mixture Design Creation
            • D- and A- (T-) Optimal Algorithmic Design Creation
            • Analysis of 2**(K-p) and Screening Designs
            • Analysis of Mixed 2 and 3 Level Designs
            • Analysis of 3**(K-p) and Box-Behnken Designs
            • Analysis of Central Composite Designs
            • Analysis of Latin Square Designs
            • Analysis of Taguchi Robust Designs
            • Analysis of Mixture Designs
        • Variance Estimation and Precision
        • Power Analysis
          • Power Computations
            • Power Calculation, One Mean, t-Test
            • Power Calculation, Two Means, t-Test, Independent Samples
            • Power Calculation, Two Means, t-Test, Dependent Samples
            • Power Calculation, Several Means, Planned Contrast
            • Power Calculation, Several Means, ANOVA, 1-Way
            • Power Calculation, Several Means, ANOVA, 2-Way
            • Power Calculation, One-Variance, Chi-Square test
            • Power Calculation, Two Correlations, Z-Test
            • Power Calculation, Two Proportions, Z-Test
            • Power Analysis for Survival Analysis, Exponential with Accrual & Dropouts (Power Calculation)
            • Power Analysis for Structural Equation Modeling (Power Calculation)
          • Sample Size Computations
            • Sample Size Calculation, One Mean, t-Test
            • Sample Size Calculation, Two Means, t-Test, Independent Samples
            • Sample Size Calculation, Two Means, t-Test, Dependent Samples
            • Sample Size Calculation, Several Means, Planned Contrast
            • Sample Size Calculation, Several Means, ANOVA, 1-Way
            • Sample Size Calculation, Several Means, ANOVA, 2-Way
            • Sample Size Calculation, One-Variance, Chi-Square Test
            • Sample Size Calculation, Two Correlations, Z-Test
            • Sample Size Calculation, Two Proportions, Z-Test
            • Power Analysis for Survival Analysis, Exponential with Accrual & Dropouts (Sample Size Calculation)
            • Power Analysis for Structural Equation Modeling (Sample Size Calculation)
          • Interval Estimation
            • Interval Estimation, One Mean, t-Tests
            • Interval Estimation, Two Means, t-Test, Independent Samples
            • Interval Estimation, Two Means, t-Test, Dependent Samples
            • Interval Estimation, Several Means, Planned Contrast
            • Interval Estimation, Several Means, ANOVA, 1-Way
            • Interval Estimation Calculation, Several Means, ANOVA, 2-Way ANOVA
            • Power Analysis for Structural Equation Modeling (Interval Estimation Calculation)
        • TextMiner
        • Data-Mining
          • Independent Component Analysis
            • Independent Component Analysis Deployment
          • Generalized Cluster Analysis
            • Generalized K-Means cluster analysis
            • Generalized EM Cluster Analysis
          • Association Rules
          • General Classification And Regression Tree Models
            • Standard Classification Trees (C&RT)
            • General Classification Trees (C&RT)
            • Standard Regression Trees (C&RT)
            • General Regression Trees (C&RT)
          • General CHAID Models
            • Standard Classification CHAID
            • Exhaustive Classification CHAID
            • General Classification CHAID
            • Standard Regression CHAID
            • Exhaustive Regression CHAID
            • General Regression CHAID
          • Advanced C and RT, CHAID (using Interactive Trees)
            • Advanced Classification Trees (C And RT)
            • Advanced Regression Trees (C And RT)
            • Advanced Classification CHAID
            • Advanced Regression CHAID
          • Boosting Trees
            • Boosting Classification Trees
            • Boosting Regression Trees
          • Random Forest
            • Random Forest Classification
            • Random Forest Regression
          • Generalized Additive Models
            • GAM: Normal, Gamma, Poisson
            • Generalized Additive Logit Models
          • MARSplines
          • Machine Learning
            • Support Vector Machine
            • Naive Bayes
            • K-Nearest Neighbors
          • Rapid Deployment
          • Goodness of Fit
            • Goodness of Fit for Multiple Inputs
          • Feature Selection and Root Cause Analysis
          • Combining Groups
            • Combining Groups Regression with Deployment
            • Combining Groups Classification with Deployment
      • Graphs
        • 2D Graphs
          • 2D Histograms
          • 2D Scatterplots
          • 2D Means with Error Plots
          • 2D Box Plots
          • 2D Variability Plots
          • 2D Range Plots
          • 2D Scatter Icon Plots
          • 2D Scatterplots with Histograms
          • 2D Scatterplots with Box Plots
          • 2D Normal Probability Plots
          • 2D Quantile-Quantile Plots
          • 2D Probability-Probability Plots
          • 2D Bar Column Plots
          • 2D Line Plots (Variables)
          • 2D Line Plots (Case Profiles)
          • 2D Sequential Stacked Plots
          • 2D Pie Charts
          • 2D Missing and Range Data Plots
        • 3D Sequential Graphs
          • Raw Data Plot
          • Bivariate Histograms
          • 3D Range Plots
          • 3D Box Plot
        • 3D XYZ Graphs
          • Scatterplots
          • 3D Surface Plots
          • 3D Contour Plots
          • 3D Ternary Plots
          • 3D Categorized XYZ Plots
          • Categorized 3D Ternary Plots
        • Matrix Plots
        • 2D Icon Plots
        • Categorized Graphs
          • Categorized Histograms
          • Categorized 2D Scatterplots
          • Categorized Means with Error Bars Plots
          • Categorized Box Plots
          • Categorized Normal Probability Plots
          • Categorized Quantile-Quantile Plots
          • Categorized Probability-Probability Plots
          • Categorized 2D Line Plots (Variables)
          • Categorized Pie Charts
          • Categorized 3D Ternary Plots
          • 3D Categorized XYZ Plots
          • Categorized Missing/Range Data Plots
      • Input Data and Data Acquisition
        • Input Generator Node
        • Multiple Copies of Data Source
      • Data Cleaning and Filtering
        • Min-Max Data Filtering
        • Random Sample Filtering
        • Systematic Random Sampling
        • Stratified Random Sampling
        • Replace Missing Data
        • Feature Selection and Variable Screening
        • User-Defined Subset
        • Variable Screening Template
        • Analyze Var Lists & Determine Categorical Vars
        • Separate Variable Lists
      • Data Transformation
        • Transpose
        • Sorting
        • Ranking
        • Shift
        • Delete Variables and Cases
        • Standardize
        • Transformations of Variables
        • Stack Variables
        • Unstack Variables
        • Recoding Groups
      • TextMiner
      • General Slicer, Dicer, and Explorer
        • Descriptive Statistics
        • Frequency Tables
        • Breakdown and One-Way ANOVA
        • Breakdown Non-Factorial Tables
        • Crosstabulation Tables
        • Stub and Banner Tables
        • Categorized Histograms
        • Categorized 2D Scatterplots
        • Categorized Box Plots
        • Categorized 2D Line Plots (Variables)
        • Categorized Missing/Range Data Plots
        • Categorized Means with Error Bars Plots
        • Categorized Pie Charts
      • Classification and Discrimination
        • Split Input Data into Training and Testing Samples (Classification)
        • Best-Subset and Stepwise GDA ANCOVA with Deployment
        • Standard Classification Trees with Deployment (C&RT)
        • Standard Classification CHAID with Deployment
        • Exhaustive Classification CHAID with Deployment
        • Boosting Classification Trees with Deployment
        • Logit Regression with Deployment
        • Probit Regression with Deployment
        • Multilayer Perceptron with Deployment (Classification)
        • Radial Basis Function with Deployment (Classification)
        • MARSplines For Classification With Deployment
        • Support Vector Machine with Deployment (Classification)
        • Naive Bayes with Deployment (Classification)
        • K-Nearest Neighbors with Deployment (Classification)
        • Combining Groups Classification with Deployment
        • Compute Overlaid Lift Charts from All Models
        • Compute Best Predicted Classification from all Models
        • Compute Best Predicted Classification with Prediction Probabilities from all Models
        • Clear all Deployment Info (Classification)
      • Regression Modeling and Multivariate Exploration
        • Split Input Data into Training and Testing Samples (Classification)
        • Standard Multiple Regression with Deployment
        • Best-Subset and Stepwise ANCOVA with Deployment
        • Standard Regression Trees (C&RT) with Deployment
        • Standard Regression CHAID with Deployment
        • Exhaustive Regression CHAID with Deployment
        • Boosting Regression Trees with Deployment
        • Random Forest Regression with Deployment
        • Multilayer Perceptron with Deployment (Classification)
        • Radial Basis Function with Deployment (Regression)
        • MARSplines for Regression with Deployment
        • Support Vector Machine with Deployment (Regression)
        • K-Nearest Neighbors with Deployment (Regression)
        • Combining Groups Regression with Deployment
        • Compute Best Predicted Classification from all Models
        • Clears All Deployment Info (Regression)
      • General Forecaster and Time Series
        • Create/Filter Single-Series Data Sources
        • Simple Exponential Smoothing and Forecasting
        • Exponential Smoothing and Forecasting
        • ARIMA Models and Forecasting
        • Display Forecasters
      • Neural Network Architectures
        • Linear
        • Multilayer Perceptron
        • Radial Basis Function (RBF)
        • Generalized Regression Neural Network
        • Clustering Network
        • Principal Components Network
        • Probabilistic Neural Network
      • Probability Calculator
        • Beta Probability Calculator
        • Cauchy Probability Calculator
        • Chi-Square Probability Calculator
        • Correlation Probability Calculator
        • Extreme Value Probability Calculator
        • Exponential Probability Calculator
        • F Probability Calculator
        • Gamma Probability Calculator
        • Laplace Probability Calculator
        • Logistic Probability Calculator
        • Log-Normal Probability Calculator
        • Normal Probability Calculator
        • Probability Calculator
        • Rayleigh Probability Calculator
        • Six Sigma Calculator
        • Student's t Probability Calculator
        • Weibull Probability Calculator
      • Comparing and Merging Multiple Data Sources
        • Merge Variables
        • Merge Text Labels
        • Merge Cases
      • Interpretation of Variable Lists
        • How Variable Lists (from the Input Descriptor) are Interpreted in the Analytic Nodes
        • Statistics Variable Lists
        • Graphs Variable Lists
    • Examples
      • Example 1: A simple project for creating standard reports and summaries
      • Example 2: Visual Data Mining
      • Example 3: Predictive data mining and deployment for a continuous output variable
      • Example 4: Predictive Data Mining for Categorical Output Variable (Classification)
    • StatisticaTM StatisticaTM Live Score
    • Execute External Workspace Node
  • Statistica PI Add-In Overview
    • Important Information
    • PI Add-In Overview
    • PI Compressed Data
      • PI Interpolated Data
      • PI Timed Data
      • Summary Data
      • PI Snapshot Data
      • Select Date
      • PI Asset Framework Data
    • Compressed Data
      • Interpolated Data
      • Timed Data
      • Summary Data
      • Start Snapshot Data
      • Stop Snapshot Data
    • Automation Methods
      • PixxUI.IsLicensed
      • PixxUI.License
      • PixxUI.PICompressedData
      • PixxUI.PIInterpolatedDataItvl
      • PixxUI.PIConnection
      • PixxUI.PIInterpolatedDataItvl
      • PixxUI.PIInterpolatedDataObs
      • PixxUI.PISnapshotData
      • PixxUI.PISummaryData
      • PixxUI.PITimedData
      • PixxUI.PISummariesDataDuration
      • PixxUI.PISummariesDataObs
    • ETL Overview
      • Data Alignment: Time Indexed vs ID Based
      • Statistica ETL: Time-Indexed Startup panel and Quick Tab
        • Statistica ETL: Time-Indexed - Advanced Tab
        • Statistica ETL: Time-Indexed - Options Tab
        • Select Data Sources
        • Select Documents
        • Select Variables for ETL Time Indexed Analysis
        • Variable Specification for ETL Time Indexed Analysis
      • Statistica ETL: ID Based Startup Panel and Quick Tab
        • Statistica ETL: ID Based Advanced Tab
        • Select Data Sources
        • Select Documents
        • Select Variables for ETL Time Indexed Analysis
        • Variable Specification for ETL ID Based Analysis
        • Time Variable Specs
        • User Specified Intervals
      • Example 1: Aligning Data From a Cyclone Furnace
      • Example 2: Comparing Historical Stock prices
      • Example 3: Aligning Multiple Stages of Process Data
  • TIBCO Statistica® Data Connectors
  • Legal and Third-Party Notices

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Statistics
Industrial Statistics and Six Sigma
Quality Control Charts
Types of Quality Control Charts Analyses
Attributes Charts

Attributes Charts

  • Defining Variables for Attribute Charts
  • Defining Variables for (C) Attribute Charts
  • Defining Sets, Specifications for Charts from Variables
  • Quality Control Charts - Reviewing Attribute Control Charts Results
  • Attribute Charts - Options
    Control Charts for Variables vs. Charts for Attributes
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