Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_freqdescriptives”.

FT_FREQDESCRIPTIVES computes descriptive univariate statistics of the frequency or time-frequency decomposition of the EEG/MEG signal, thus the powerspectrum and its standard error. Use as [freq] = ft_freqdescriptives(cfg, freq) [freq] = ft_freqdescriptives(cfg, freqmvar) The data in freq should be organised in a structure as obtained from from the FT_FREQANALYSIS or FT_MVARANALYSIS function. The output structure is comparable to the input structure and can be used in most functions that require a freq input. The configuration options are cfg.variance = 'yes' or 'no', estimate standard error in the standard way (default = 'no') cfg.jackknife = 'yes' or 'no', estimate standard error by means of the jack-knife (default = 'no') cfg.keeptrials = 'yes' or 'no', estimate single trial power (useful for fourier data) (default = 'no') cfg.channel = Nx1 cell-array with selection of channels (default = 'all'), see FT_CHANNELSELECTION for details cfg.trials = 'all' or a selection given as a 1xN vector (default = 'all') cfg.frequency = [fmin fmax] or 'all', to specify a subset of frequencies (default = 'all') cfg.latency = [tmin tmax] or 'all', to specify a subset of latencies (default = 'all') A variance estimate can only be computed if results from trials and/or tapers have been kept. Descriptive statistics of bivariate metrics is not computed by this function anymore. To this end you should use FT_CONNECTIVITYANALYSIS. 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_FREQANALYSIS, FT_FREQSTATISTICS, FT_FREQBASELINE, FT_CONNECTIVITYANALYSIS

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