AFNI version info (afni -ver
): 23.3.14
Hi AFNI members:
When I use MBA to continue analyzing the results from 3dNetcorr, I encounter this strange error:
Loading required package: Rcpp
Loading 'brms' package (version 2.20.4). Useful instructions
can be found by typing help('brms'). A more detailed introduction
to the package is available through vignette('brms_overview').
Attaching package: ‘brms’
The following object is masked from ‘package:stats’:
ar
Error in `$<-.data.frame`(`*tmp*`, ROI1, value = integer(0)) :
replacement has 0 rows, data has 18648
Calls: $<- -> $<-.data.frame
Execution halted
This is my script:
MBA -prefix ${group_dir}/exp_test -r2z -dataTable ${group_dir}/exp.table \
-chains 4 -iterations 1000 -WCP 3 \
-model '1+group' -EOI 'Intercept, group'
and the end of the input table:
or a sample table:
Subj,group,ROI1,ROI2,Y
sub-05_ses-before,before,EXA,GPe,0.24
sub-05_ses-before,before,EXA,GPi,0.1331
sub-05_ses-before,before,EXA,HN,-0.053
sub-05_ses-before,before,EXA,HTH,0.1292
sub-05_ses-before,before,EXA,LH_DefaultA_PFCd_1,0.1732
sub-05_ses-before,before,EXA,LH_DefaultA_PFCm_1,0.1122
sub-05_ses-before,before,EXA,LH_DefaultA_pCunPCC_1,0.0362
sub-05_ses-before,before,EXA,LH_DefaultB_IPL_1,0.2402
sub-05_ses-before,before,EXA,LH_DefaultB_PFCd_1,0.2737
sub-05_ses-before,before,EXA,LH_DefaultB_PFCl_1,0.1783
sub-05_ses-before,before,EXA,LH_DefaultB_PFCv_1,0.2059
sub-05_ses-before,before,EXA,LH_DefaultB_PFCv_2,0.2219
sub-05_ses-before,before,EXA,LH_DefaultB_Temp_1,0.1228
sub-05_ses-before,before,EXA,LH_DefaultB_Temp_2,0.1899
sub-05_ses-before,before,EXA,LH_DefaultC_PHC_1,0.1311
sub-05_ses-before,before,EXA,LH_DefaultC_Rsp_1,-0.0423
sub-05_ses-before,before,EXA,MN,0.0359
sub-05_ses-before,before,EXA,NAC,0.1941
sub-05_ses-before,before,EXA,PBP,-0.072
sub-05_ses-before,before,EXA,Pu,0.1985
sub-05_ses-before,before,EXA,RH_DefaultA_IPL_1,0.1556
sub-05_ses-before,before,EXA,RH_DefaultA_PFCd_1,0.2147
sub-05_ses-before,before,EXA,RH_DefaultA_PFCm_1,0.1349
sub-05_ses-before,before,EXA,RH_DefaultA_pCunPCC_1,0.0287
sub-05_ses-before,before,EXA,RH_DefaultB_PFCd_1,0.2306
sub-05_ses-before,before,EXA,RH_DefaultB_PFCv_1,0.0936
sub-05_ses-before,before,EXA,RH_DefaultB_PFCv_2,0.1512
sub-05_ses-before,before,EXA,RH_DefaultC_PHC_1,-0.0335
sub-05_ses-before,before,EXA,RH_DefaultC_Rsp_1,-0.0081
sub-05_ses-before,before,EXA,RN,0.0137
sub-05_ses-before,before,EXA,SNc,-0.0174
sub-05_ses-before,before,EXA,SNr,0.0175
sub-05_ses-before,before,EXA,STN,0.0017
sub-05_ses-before,before,EXA,VTA,-0.0475
sub-05_ses-before,before,EXA,VeP,0.3442
sub-05_ses-after,after,EXA,GPe,0.1789
sub-05_ses-after,after,EXA,GPi,0.0458
sub-05_ses-after,after,EXA,HN,-0.0743
sub-05_ses-after,after,EXA,HTH,0.1431
sub-05_ses-after,after,EXA,LH_DefaultA_PFCd_1,0.0322
sub-05_ses-after,after,EXA,LH_DefaultA_PFCm_1,0.1714
sub-05_ses-after,after,EXA,LH_DefaultA_pCunPCC_1,0.0687
sub-05_ses-after,after,EXA,LH_DefaultB_IPL_1,-0.0076
sub-05_ses-after,after,EXA,LH_DefaultB_PFCd_1,0.0061
sub-05_ses-after,after,EXA,LH_DefaultB_PFCl_1,-0.0363
sub-05_ses-after,after,EXA,LH_DefaultB_PFCv_1,0.033
sub-05_ses-after,after,EXA,LH_DefaultB_PFCv_2,0.0836
sub-05_ses-after,after,EXA,LH_DefaultB_Temp_1,0.0222
sub-05_ses-after,after,EXA,LH_DefaultB_Temp_2,0.0076
sub-05_ses-after,after,EXA,LH_DefaultC_PHC_1,0.0079
sub-05_ses-after,after,EXA,LH_DefaultC_Rsp_1,0.0724
sub-05_ses-after,after,EXA,MN,0.0929
sub-05_ses-after,after,EXA,NAC,0.0059
sub-05_ses-after,after,EXA,PBP,-0.1226
sub-05_ses-after,after,EXA,Pu,0.0105
sub-05_ses-after,after,EXA,RH_DefaultA_IPL_1,0.0829
sub-05_ses-after,after,EXA,RH_DefaultA_PFCd_1,0.0884
sub-05_ses-after,after,EXA,RH_DefaultA_PFCm_1,0.2084
sub-05_ses-after,after,EXA,RH_DefaultA_pCunPCC_1,0.0377
sub-05_ses-after,after,EXA,RH_DefaultB_PFCd_1,0.0746
sub-05_ses-after,after,EXA,RH_DefaultB_PFCv_1,0.1315
sub-05_ses-after,after,EXA,RH_DefaultB_PFCv_2,0.1071
sub-05_ses-after,after,EXA,RH_DefaultC_PHC_1,0.0782
sub-05_ses-after,after,EXA,RH_DefaultC_Rsp_1,0.0874
sub-05_ses-after,after,EXA,RN,-0.0787
sub-05_ses-after,after,EXA,SNc,0.0124
sub-05_ses-after,after,EXA,SNr,-0.0183
sub-05_ses-after,after,EXA,STN,-0.0022
sub-05_ses-after,after,EXA,VTA,0.02
sub-05_ses-after,after,EXA,VeP,0.1731
When I prepared the data for MBA, I didn't find some useful tutorial. So I did it in a hard way. First, I used fat_mvm_prep.py to generate the table. But that table could not be used directly by MBA. I needed to format it using Excel according to the MBA help. The whole process was so torturous. I hope some expert can give us more detailed tutorials about the preparatory stage of group analysis,like after running 3dNetcorr, you can use A to generate the input for B...