Table 4 The parameters for cfg for the group analysis TEgroup_stats.m.

design

integer number

matrix containing a row with unit of observation (subject) number and a row with independent variable representing the order of the data input. example for five subjects two conditions:

1234512345

1111122222

uvar

integer number

row in cfg.design which contains the number of the unit of observation (e.g. subject)

(in the example: 1)

ivar

integer number

row in cfg.design which contains the independent variable (in the example: 2)

permstatstype

'indepsamplesT'

string

'mean' - use the distribution of the mean differences; 'depsamplesT' (for dependent samples) or 'indepsamplesT' (for independent samples) - use the distribution of the t-values.

numpermutation

190100

integer number

number of permutations in the permutation test

tail

2

integer number

1 or 2 tailed test of significance in the permutation test

alpha

.05

number

significance level for statistical permutation test and correction for multiple comparison

correctm

'FDR'

string

correction method used for correction of the multiple comparison problem - False discovery rate 'FDR' or Bonferroni correction 'BONF'

fileidout

string

the first part of the output filename