| 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 |