SΒΆ

Function Purpose Statement
scaleFilter Scales or unscales continuous data prior to its use in neural network training, testing, or forecasting.
seasonalFit Estimates the optimum seasonality parameters for a time series using an autoregressive model, AR(p), to represent the time series.
setUserFcnReturnFlag Indicates a condition has occurred in a user-supplied function necessitating a return to the calling function.
shapiroWilkNormalityTest Performs the Shapiro-Wilk test for normality.
signTest Performs a sign test.
simpleStatistics Computes basic univariate statistics.
sortData Sorts observations by specified keys, with option to tally cases into a multi-way frequency table.
splitPlot Analyzes a wide variety of split-plot experiments with fixed, mixed or random factors.
splitSplitPlot Analyzes data from split-split-plot experiments.
stripPlot Analyzes data from strip-plot experiments.
stripSplitPlot Analyzes data from strip-split-plot experiments.
supportVectorTrainer Trains a Support Vector Machines classifier
supportVectorClassification Classifies patterns using a previously trained Support Vector Machines classifier
survivalEstimates Estimates using various parametric models.
survivalGlm Analyzes survival data using a generalized linear model.
svmClassifierFree Frees memory allocated for a Support Vector Machines classifier