There is not an easy way to do it, but you can do it in matlab cd glmdir X = load('Xg.dat'); y = load('perm.th30.abs.y.ocn.dat'); beta = inv(X'*X)*X'*y; yhat = X(:,[i j k ...]*beta([i j k ...])

where i j k ... indicate the factors you want keep in your data. Each factor gets a column in the design matrix (and a beta). If you need help figuring this out, send the fsgd file.

On 5/15/2020 12:10 PM, Hua, Jessica wrote:

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After running the permutation and finding significant clusters, I am trying to calculate the value for each participant for these significant clusters.

The perm.th30.abs.y.ocn.dat contain the raw values, and I am trying to get the adjusted values accounting for age, sex, and ICV.  What would be the best way of calculating that?

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Jessica Hua, M.A. Cognitive and Emotional Control Lab Doctoral Candidate Clinical Psychology University of Missouri

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