Also, my second question was that because gender is a categorical variable, in my previous attempts with 3dMVM I used to use letters (F/M) in the covariates file. But in the 3dttest++ we are instructed to only use numeric variables as a covariate. Accordingly, I have used 1 for females and 0 for males. I was just concerned that the algorithm may treat the data differently if a categorical covariate is presented in a numeric format. Or is it just fine?
Referring to the instructions provided on the 3dttest++ help file, I think it must be fine. I would be thankful if you could please confirm. I am pasting this section of the help file at the end of this email.
Thank you so much for your time.
Respectfully,
Sanaz
* You cannot enter covariates as pure labels (e.g., 'Male' and 'Female').
To assign such categorical covariates, you must use numeric values.
A column in the covariates file that contains strings rather than
numbers is assumed to be a list of dataset names, not category labels!
Edited 1 time(s). Last edit at 11/14/2019 02:34PM by Sanaz_khosravani.
