Hi,
I have a repeated measure experiment (pre, post intervention), and I would like to test for changes induced by the intervention. When I test, even at near 0 treshold, I don't get any results. Hence I would like to validate my design matrix and exchange blocks (which I don't fully understand). Any suggestions welcome!
I have set up my files in alphanumerical order :
aXXX01-pre.txt
aXXX02-pre.txt
aXXX03-pre.txt
bXXX01-post.txt
bXXX02-post.txt
bXXX03-post.txt
...
My design matrix is comprised of one column per subject, and a
contrast column :
1 0 0 1
0 1 0 1
0 0 1 1
1 0 0 -1
0 1 0 -1
0 0 1 -1
Contrast = [ 0, 0, 0, 1] / or [1, zeros(1, nsub)]; (tried both
ways)
Exchange bloacks = [ 1 2 3 4 1 2 3 4 ]
This is the part where I am not sure what it does!
I have tried, like in some exmples, to specify it as
[1;2;3;4;1;2;3;4], and as reshape(repmat(1:nsub, 1,
2), 1, []);
In the last two cases, I get 'exchange blocks : no' in the
output.
In all cases, even at very low T, I get no results. Thanks for
letting me know if I did it the right way (and that there is no
results in these data).
Great thanks,
Dylan
Threaded View
Title | Author | Date |
---|---|---|
dylan sutterlin | Feb 27, 2024 | |
Andrew Zalesky | Feb 28, 2024 | |
dylan sutterlin | Feb 29, 2024 | |
Andrew Zalesky | Mar 1, 2024 | |
dylan sutterlin | Mar 2, 2024 | |