Hello, AFNI experts (and specifically Gang, who I believe will address this question!),
I am hoping to receive some help with an error that I receive when trying to run 3dMVM. The error is:
Error in outList[[1]][[n]] : subscript out of bounds
Calls: process.MVM.opts -> gl_Constr
Execution halted
I am not sure what I am doing incorrectly to get this message. For the GLT: My goal is to examine the interaction between sex (a categorical variable) and VO2max (a continuous, quantitative variable). Is the code below doing this correctly?
Thank you so much, in advance, for your help with this!
Warmest Regards,
Katie
3dMVM \
-jobs 16 \
-prefix /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/group_results/3dMVM/test.results.3dMVM-Shiny-sexInt/My_MVM.nii.gz \
-mask /restricted/projectnb/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/mask_intersection_2nd+tlrc \
-SS_type 3 \
-bsVars "sex+age_ixt+vo2max_raw" \
-qVars "age_ixt,vo2max_raw" \
-qVarCenters "67.68,30.74" \
-num_glt 1 \
-gltLabel 1 vo2_mVf -gltCode 1 'sex : 1*male -1*female vo2max_raw :' \
-dataTable \
Subj age_ixt sex vo2max_raw InputFile \
s02 63 female 33.45 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_002/NAV_002.results/NAV_002.results.incl-instruc.final/stats.NAV_002_REML+tlrc"[1]" \
s05 73 female 24.47 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_005/NAV_005.results/NAV_005.results.incl-instruc.final/stats.NAV_005_REML+tlrc"[1]" \
s07 62 female 39.52 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_007/NAV_007.results/NAV_007.results.incl-instruc.final/stats.NAV_007_REML+tlrc"[1]" \
s08 60 female 21.18 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_008/NAV_008.results/NAV_008.results.incl-instruc.final/stats.NAV_008_REML+tlrc"[1]" \
s09 67 male 29.94 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_009/NAV_009.results/NAV_009.results.incl-instruc.final/stats.NAV_009_REML+tlrc"[1]" \
s10 71 female 17.68 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_010/NAV_010.results/NAV_010.results.incl-instruc.final/stats.NAV_010_REML+tlrc"[1]" \
s13 65 female 30.97 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_013/NAV_013.results/NAV_013.results.incl-instruc.final/stats.NAV_013_REML+tlrc"[1]" \
s17 70 female 20.21 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_017/NAV_017.results/NAV_017.results.incl-instruc.final/stats.NAV_017_REML+tlrc"[1]" \
s18 60 female 24.49 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_018/NAV_018.results/NAV_018.results.incl-instruc.final/stats.NAV_018_REML+tlrc"[1]" \
s24 69 female 33.47 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_024/NAV_024.results/NAV_024.results.incl-instruc.final/stats.NAV_024_REML+tlrc"[1]" \
s28 65 male 36.87 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_028/NAV_028.results/NAV_028.results.incl-instruc.final/stats.NAV_028_REML+tlrc"[1]" \
s38 73 male 40.99 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_038/NAV_038.results/NAV_038.results.incl-instruc.final/stats.NAV_038_REML+tlrc"[1]" \
s39 66 female 35.84 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_039/NAV_039.results/NAV_039.results.incl-instruc.final/stats.NAV_039_REML+tlrc"[1]" \
s40 60 female 35.21 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_040/NAV_040.results/NAV_040.results.incl-instruc.final/stats.NAV_040_REML+tlrc"[1]" \
s53 70 female 27 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_053/NAV_053.results/NAV_053.results.incl-instruc.final/stats.NAV_053_REML+tlrc"[1]" \
s55 63 female 30.59 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_055/NAV_055.results/NAV_055.results.incl-instruc.final/stats.NAV_055_REML+tlrc"[1]" \
s56 76 female 35.91 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_056/NAV_056.results/NAV_056.results.incl-instruc.final/stats.NAV_056_REML+tlrc"[1]" \
s58 73 female 23.44 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_058/NAV_058.results/NAV_058.results.incl-instruc.final/stats.NAV_058_REML+tlrc"[1]" \
s64 71 female 29.72 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_064/NAV_064.results/NAV_064.results.incl-instruc.final/stats.NAV_064_REML+tlrc"[1]" \
s65 80 male 30.93 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_065/NAV_065.results/NAV_065.results.incl-instruc.final/stats.NAV_065_REML+tlrc"[1]" \
s69 62 male 40.52 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_069/NAV_069.results/NAV_069.results.incl-instruc.final/stats.NAV_069_REML+tlrc"[1]" \
s74 70 male 33.92 /rprojectnb2/exercise/fMRI/R21_kk/MRI_Pre_Testing/klk_nav_analyses/subj_data_nifti/afni_preprocessing/NAV_074/NAV_074.results/NAV_074.results.incl-instruc.final/stats.NAV_074_REML+tlrc"[1]"
