Time-wise Multi-way Principal Component Analysis

General

Element Name Description
Detail of computed results reported Detail of computed results; if Minimal results is requested, then summary spreadsheet and graph will be displayed; if Comprehensive results is requested, the components spreadsheet, the line plots of the components, and the scatterplots of the components will be displayed.
Aggregated (stacked) data Aggregated (stacked) data.
Maximum number of iterations Specifies the maximum number of iterations to generate the components.
Convergence criterion Convergence criterion.
Fitting method Specifies the method to fit the model.
Fixed number of components Fixed number of components.
Minimum eigenvalue limit Minimum eigenvalue limit.
Cross-validation specifications Specifies the cross-validation method.
V value V value for V-fold cross-validation.
Random seed Random seed for cross-validation.

Advanced

Element Name Description
Minimum percentage of valid cases per variable (%) Minimum percentage of valid cases per variable (%).
Minimum percentage of valid variables per case (%) Minimum percentage of valid variables per case (%).
Apply maximum data size Apply maximum data size.
Maximum data size, in MB Maximum data size, in MB.
Variable scale Variable scale.

Results

Element Name Description
Control limit (%) for T-Square chart and SPE(Q) chart Control limit (%) for T-Square chart and SPE(Q) chart.
Apply warning limit for T-Square chart and SPE (Q) chart Apply warning limit for T-Square chart and SPE (Q) chart.
Warning limit (%) for T-Square chart and SPE(Q) chart Warning limit (%) for T-Square chart and SPE(Q) chart.
Sort variables by importance Sort variables by importance.
Scree plot of eigenvalues Scree plot of eigenvalues.
Number of eigenvalues to plot in scree plot Number of eigenvalues to plot in scree plot.

Plots

Element Name Description
Lineplots of scores and loadings Lineplots of scores and loadings.
Scatterplots of scores and loadings Scatterplots of scores and loadings.
Display text labels Display text labels.
Type of plot limit Type of plot limit.
Applying warning limit for plots Applying warning limit for plots.
Multiply std. dev to calculate control limit. Multiply std. dev. to calculate control limit.
Multiply std. dev to calculate warning limit. Multiply std. dev. to calculate warning limit.
Compute control limit from probability value Compute control limit from probability value.
Compute warning limit from probability value Compute warning limit from probability value.

Deployment

Deployment is available if the Statistica installation is licensed for this feature.

Element Name Description
Generates PMML code Generates PMML (Predictive Models Markup Language) code for deployment of predictive model. This code can be used via the Rapid Deployment options to efficiently compute predictions for (score) large data sets.
Saves PMML code Saves PMML (Predictive Models Markup Language) code for deployment of predictive model. This code can be used via the Rapid Deployment options to efficiently compute predictions for (score) large data sets.
File name for PMML (XML) code Specify the name and location of the file where to save the (PMML/XML) deployment code information.