Special Forms of Assignment (Mathematica Tutorial)

Particularly when you write procedural programs in Mathematica, you will often need to modify the value of a particular variable repeatedly. You can always do this by ...

WaveletMatrixPlot (Built-in Mathematica Symbol)

WaveletMatrixPlot[dwd] plots the basis tree of wavelet matrix coefficients in the DiscreteWaveletData dwd.WaveletMatrixPlot[dwd, r] plots coefficients up to refinement level ...

Analysis of Variance Package (ANOVA Package Tutorial)

This package provides functions for performing a univariate Analysis of Variance (ANOVA) to examine the differences between groups of means. The function ANOVA can handle ...

TableForm (Built-in Mathematica Symbol)

TableForm[list] prints with the elements of list arranged in an array of rectangular cells.

TTest (Built-in Mathematica Symbol)

TTest[data] tests whether the mean of data is zero. TTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.TTest[dspec, \[Mu]_0] tests the mean ...

WaveletScalogram (Built-in Mathematica Symbol)

WaveletScalogram[wd] plots wavelet vector coefficients in a DiscreteWaveletData or ContinuousWaveletData object wd.WaveletScalogram[wd, wind] plots wavelet coefficients ...

DiscreteWaveletPacketTransform (Built-in Mathematica Symbol)

DiscreteWaveletPacketTransform[data] gives the discrete wavelet packet transform (DWPT) of an array of data.DiscreteWaveletPacketTransform[data, wave] gives the discrete ...

ANOVA (ANOVA Package Symbol)

ANOVA[data] performs a one-way analysis of variance.ANOVA[data, model, vars] performs an analysis of variance for model as a function of the categorical variables vars.

DistributeDefinitions (Built-in Mathematica Symbol)

DistributeDefinitions[s_1, s_2, ...] distributes all definitions for the symbols s_i to all parallel kernels.DistributeDefinitions["context"] distributes definitions for all ...

Hierarchical Clustering Package (Hierarchical Clustering Package Tutorial)

The function FindClusters finds clusters in a dataset based on a distance or dissimilarity function. This package contains functions for generating cluster hierarchies and ...