I have a distance matrix which I am trying to transform into a column vector (which I can then use for regression purposes, using pairwise distance as my DV). In the past, I've been able to do this:
matrix SQvec = vec(SQdist)
matsave SQvec, replace saving
In the past, I've had 30-40 rows and columns, so this has worked fine. The problem is that I have too many rows and columns this time around (123 rows and columns) so the resulting matrix is outside the 11,000 limit.
Is there another way to transform the distance matrix without running into the matsize problem? Thanks for your help.
matrix SQvec = vec(SQdist)
matsave SQvec, replace saving
In the past, I've had 30-40 rows and columns, so this has worked fine. The problem is that I have too many rows and columns this time around (123 rows and columns) so the resulting matrix is outside the 11,000 limit.
Is there another way to transform the distance matrix without running into the matsize problem? Thanks for your help.