Differences

This shows you the differences between two versions of the page.

Link to this comparison view

reference:ft_statfun_pooledt [2018/08/23 14:43] (current)
Line 1: Line 1:
 +=====  FT_STATFUN_POOLEDT =====
 +
 +Note that this reference documentation is identical to the help that is displayed in MATLAB when you type "help ft_statfun_pooledT"​.
 +
 +<​html><​pre>​
 +  <a href=/​reference/​ft_statfun_pooledT><​font color=green>​FT_STATFUN_POOLEDT</​font></​a>​ computes the pooled t-value over a number of replications. The
 +  idea is that you compute a contrast between two conditions per subject The t-values
 +  are pooled over subjects and compared against the pooled pseudo-values. Since
 +  according to H0 the expected t-value for each subject value is zero, the difference
 +  between the pooled t-value and the pseudo-value (which is set to zero) is a
 +  fixed-effects statistic.
 +  ​
 +  The computation of the difference between pooled t-values can be repeated after
 +  randomly permuting the t-values and pseudo-values within the subjects. Each random
 +  permutation gives you an estimate of the difference. The random permutations build
 +  up a randomization distributin,​ against which you can compare the observed pooled
 +  t-values.
 +  ​
 +  The statistical inference based on the comparison of the observed pooled t-values
 +  with the randomization distribution is not a fixed-effect statistic, one or a few
 +  outlier will cause the randomization distribution to broaden and result in the
 +  conclusion of "not significant"​.
 +  ​
 +  Use this function by calling one of the high-level statistics functions as
 +    [stat] = ft_timelockstatistics(cfg,​ timelock1, timelock2, ...)
 +    [stat] = ft_freqstatistics(cfg,​ freq1, freq2, ...)
 +    [stat] = ft_sourcestatistics(cfg,​ source1, source2, ...)
 +  with the following configuration option
 +    cfg.statistic = '​ft_statfun_pooledT'​
 + 
 +  Configuration options that are relevant for this function are
 +    cfg.ivar ​     = number, index into the design matrix with the independent variable
 + 
 +  See also <a href=/​reference/​ft_timelockstatistics><​font color=green>​FT_TIMELOCKSTATISTICS</​font></​a>,​ <a href=/​reference/​ft_freqstatistics><​font color=green>​FT_FREQSTATISTICS</​font></​a>​ or <a href=/​reference/​ft_sourcestatistics><​font color=green>​FT_SOURCESTATISTICS</​font></​a>​
 +</​pre></​html>​