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

 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.