• 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