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,
                     'glm'        use a general linear model approach.
 
  The other cfg options depend on the method that you select. You
  should read the help of the respective subfunction STATISTICS_XXX
  for the corresponding configuration options and for a detailed
  explanation of each method.
 
  See also FT_TIMELOCKANALYSIS, FT_TIMELOCKGRANDAVERAGE
 
  Undocumented local options:
    cfg.inputfile  = one can specifiy preanalysed saved data as input
                      The data should be provided in a cell array
    cfg.outputfile = one can specify output as file to save to disk