Dear AFNI experts,
I used the below script to run a one-sample t-test.
3dttest++ \
-prefix results \
-covariates Covariate.txt \
-center SAME \
-mask /Volumes/GM_mask/GMmask+tlrc \
-clustsim \
-setA A \
subj1 /Volumes/subj1/Proc_results/nbm_final_r2z+tlrc \
subj2 /Volumes/subj2/Proc_results/nbm_final_r2z+tlrc \
subj3 /Volumes/subj3/Proc_results/nbm_final_r2z+tlrc \
subj4 /Volumes/subj4/Proc_results/nbm_final_r2z+tlrc \
subj5 /Volumes/subj5/Proc_results/nbm_final_r2z+tlrc \
sub6 /Volumes/subj6/Proc_results/nbm_final_r2z+tlrc \
.
.
.
.
subj180 /Volumes/subj180/Proc_results/nbm_final_r2z+tlrc \
There were three covariates (age, sex, and years of education) and the ouput dataset looks like below.
#0 A_mean
#1 A_Zscr
#2 A_age
#3 A_age_Zscr
#4 A_sex
#5 A_sex_Zscr
#6 A_education
#7 A_education_Zscr
I'd like to see the one-sample t-test result after controlling for all the covariates, not each covariate, but according to the 3dttest++ page, #0 is a difference of means with covariates removed. Could you please let me know if there is any way that I can get the one-sample t-test result after controlling all three covariates?
Best,
JW
