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Code covered by the BSD License

anova1_cell(data) anova1_cell() - compute F-values in cell array using ANOVA.
anova1rm_cell(data) anova1rm_cell() - compute F-values in cell array using repeated measure
anova2_cell(data) anova2_cell() - compute F-values in cell array using ANOVA.
anova2rm_cell(data) anova2rm_cell() - compute F-values in cell array using repeated measure
concatdata(data); concatdata - concatenate data stored into a cell array into a single
corrcoef_cell(a,b); corrcoef_cell() - compute pairwise correlations using arrays and
fdr(pvals, q, fdrType); fdr() - compute false detection rate mask
statcond( data, varargin ); statcond() - compare two or more data conditions statistically using
teststat; teststat - EEGLAB statistical testing function
ttest2_cell(a,b,c) % assumes ... ttest2_cell() - compute unpaired t-test. Allow fast computation of
ttest_cell(a,b) ttest_cell() - compute paired t-test. Allow fast computation of
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Resampling statistical toolkit

20 Jun 2010

This package performs fast inferiential statistics using the bootstrap and other resampling methods

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Description	This package contains a set of functions for inferiential statistics using resampling methods. Data are organized into arrays so multiple tests can be run at once (up to one million test per second). The package supports bootstrap, permutation and parametric statistics using paired or unpaired t-test, or repeated measure ANOVA (one way and two ways).
MATLAB release	MATLAB 7.5 (R2007b)

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