Note that this reference documentation is identical to the help that is displayed in Matlab when you type “help statistics_analytic”.
STATISTICS_ANALYTIC performs a parametric statistical test on the data, based on a known (i.e. analytic) distribution of the test statistic. This function should not be called directly, instead you should call the function that is associated with the type of data on which you want to perform the test. Use as stat = ft_timelockstatistics(cfg, data1, data2, data3, ...) stat = ft_freqstatistics (cfg, data1, data2, data3, ...) stat = ft_sourcestatistics (cfg, data1, data2, data3, ...) where the data is obtained from FT_TIMELOCKANALYSIS, FT_FREQANALYSIS or FT_SOURCEANALYSIS respectively, or from FT_TIMELOCKGRANDAVERAGE, FT_FREQGRANDAVERAGE or FT_SOURCEGRANDAVERAGE respectively. The configuration can contain cfg.statistic = string, statistic to compute for each sample or voxel (see below) cfg.correctm = apply multiple-comparison correction, 'no', 'bonferoni', 'holms', 'fdr' (default = 'no') cfg.alpha = critical value for rejecting the null-hypothesis (default = 0.05) cfg.tail = -1, 1 or 0 (default = 0) cfg.ivar = number or list with indices, independent variable(s) cfg.uvar = number or list with indices, unit variable(s) cfg.wvar = number or list with indices, within-block variable(s) The parametric statistic that is computed for each sample (and for which the analytic probability of the null-hypothesis is computed) is specified as cfg.statistic = 'indepsamplesT' independent samples T-statistic, 'indepsamplesF' independent samples F-statistic, 'indepsamplesregrT' independent samples regression coefficient T-statistic, 'indepsamplesZcoh' independent samples Z-statistic for coherence, 'depsamplesT' dependent samples T-statistic, 'depsamplesF' dependent samples F-statistic, 'depsamplesregrT' dependent samples regression coefficient T-statistic, 'actvsblT' activation versus baseline T-statistic. See also FT_TIMELOCKSTATISTICS, FT_FREQSTATISTICS, FT_SOURCESTATISTICS
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