BrownForsytheTest[data] tests whether the variance of data is 1. BrownForsytheTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are ...
ColorFunctionScaling is an option for graphics functions that specifies whether arguments supplied to a color function should be scaled to lie between 0 and 1.
VarianceEquivalenceTest[{data_1, data_2, ...}] tests whether the variances of the data_i are equal. VarianceEquivalenceTest[{data_1, ...}, " property"] returns the value of " ...
A differential system can sometimes be solved by analytic means. The function DSolve implements many of the known algorithmic techniques. However, differential systems that ...
BezierFunction[{pt_1, pt_2, ...}] represents a Bézier function for a curve defined by the control points pt_i.BezierFunction[array] represents a Bézier function for a surface ...
NominalVariables is an option for fitting functions such as LinearModelFit that specifies which variables should be treated as having discrete values specified by names.
SyntaxInformation[f] gives information used to generate syntax coloring and other advisories when f[...] is entered as input.
TransferFunctionModel[m, var] represents the model of the transfer-function matrix m with complex variable var.TransferFunctionModel[{num, den}, var] specifies the numerator ...
This example demonstrates how to create a reusable GUIKit` widget for wrapping Plot and some of its options. You can easily treat the PlotGroup example as a single reusable ...
StateSpaceTransform[ss, s_1] transforms the StateSpaceModel object ss using the similarity matrix s_1.StateSpaceTransform[ss, {s_1, s_2}] computes the transformation using ...