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 and sex (this is a three group design).

The X matrix was 240x12 (see attached file)

Column 1: 1s for Group 1 and 0s for Group 2 and 0s for Group 3
Column 2: 0s for Group 1 and 1s for Group 2 and 0s for Group 3
Column 3: 0s for Group 1 and 0s for Group 2 and 1s for Group 3
Column 4: Age for Group 1 and 0s for Group 2 and 0s for Group 3
Column 5: 0s for Group 1 and Age for Group 2 and 0s for Group 3
Column 6: 0s for Group 1 and 0s for Group 2 and Age for Group 3
Column 7: Sex for Group 1 and 0s for Group 2 and 0s for Group 3
Column 8: 0s for Group 1 and Sex for Group 2 and 0s for Group 3
Column 9: 0s for Group 1 and 0s for Group 2 and Sex for Group 3

Your code:

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(:,[1 2 3]*beta([1 2 3])

When running your code, below are the errors I got in Matlab. Do you know how I can fix the code?

>> X = load('Xg.dat');

>> y = load('perm.th30.abs.y.ocn.dat');

>> beta = inv(X'*X)*X'*y;

>> yhat = X(:,[1 2 3]*beta([1 2 3])

yhat = X(:,[1 2 3]*beta([1 2 3])

↑

Error: Invalid expression. When calling a function

or indexing a variable, use parentheses. Otherwise,

check for mismatched delimiters.

Did you mean:

>> yhat = X(:,[1 2 3]*beta([1 2 3]))

Error using *

Incorrect dimensions for matrix multiplication.

Check that the number of columns in the first matrix

matches the number of rows in the second matrix. To

perform elementwise multiplication, use '.*'.

>> yhat = X(:,[1 2 3].*beta([1 2 3]))

Index in position 2 is invalid. Array indices must

be positive integers or logical values.