FT_TIMELOCKSTATISTICS
Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_timelockstatistics”.
FT_TIMELOCKSTATISTICS computes significance probabilities and/or critical values of a parametric statistical test or a non-parametric permutation test. Use as [stat] = ft_timelockstatistics(cfg, timelock1, timelock2, ...) where the input data is the result from either FT_TIMELOCKANALYSIS or FT_TIMELOCKGRANDAVERAGE. The configuration can contain the following options for data selection cfg.channel = Nx1 cell-array with selection of channels (default = 'all'), see FT_CHANNELSELECTION for details cfg.latency = [begin end] in seconds or 'all' (default = 'all') cfg.avgoverchan = 'yes' or 'no' (default = 'no') cfg.avgovertime = 'yes' or 'no' (default = 'no') cfg.parameter = string (default = 'trial' or 'avg') Furthermore, the configuration should contain cfg.method = different methods for calculating the significance probability and/or critical value 'montecarlo' get Monte-Carlo estimates of the significance probabilities and/or critical values from the permutation distribution, 'analytic' get significance probabilities and/or critical values from the analytic reference distribution (typically, the sampling distribution under the null hypothesis), 'stats' use a parametric test from the MATLAB statistics toolbox, 'crossvalidate' use crossvalidation to compute predictive performance The other cfg options depend on the method that you select. You should read the help of the respective subfunction FT_STATISTICS_XXX for the corresponding configuration options and for a detailed explanation of each method. To facilitate data-handling and distributed computing you can use cfg.inputfile = ... cfg.outputfile = ... If you specify one of these (or both) the input data will be read from a *.mat file on disk and/or the output data will be written to a *.mat file. These mat files should contain only a single variable, corresponding with the input/output structure. See also FT_TIMELOCKANALYSIS, FT_TIMELOCKGRANDAVERAGE