I have a group-level design where each subject has an activation map from 1,
2, or 3 identical sessions. I want to use randomise to test for significant
differences in the activation map between groups.
I created a design.grp file that looks something like this:
/NumWaves 1
/NumPoints 192
/Matrix
1
1
2
3
4
5
6
6
6
And so on, for 192 rows and 99 subjects. My design.mat file has the same number
of rows (192) and 7 columns. The first contrast in design.con is:
1 -1 0 0 0 0 0
When I run randomise with '-m design.mat -t design.con -e design.grp',
randomise says:
1 permutations required for exhaustive test of t-test 1
Doing all 1 unique permutations
I would think that more than one permutation is possible/advisable for this
contrast. How should I be setting up my exchangeability matrix?
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