Hi!
I am new to AFNI and I am trying to use the 3dISC program on some of my subjects. The subjects have been preprocessed using AFNI. I am trying to run a one-group ISC analysis with one explanatory variable (motion).
Although everything starts up fine, I keep getting this output and error whenever I run it:
Read 3905 items
Warning message:
In process.ISC.opts(lop, verb = lop$verb) : NAs introduced by coercion
Loading required package: lme4
Loading required package: Matrix
boundary (singular) fit: see ?isSingular
Loading required package: snow
Error in checkForRemoteErrors(val) :
2 nodes produced errors; first error: object ‘fm’ not found
Calls: aperm … clusterApply → staticClusterApply → checkForRemoteErrors
Execution halted
This is my input:
bash-3.2$ 3dISC -prefix ISCmotion -jobs 12
-model ‘Motion+(1|Subj1)+(1|Subj2)’
-qVars Motion
-gltCode ave ‘1 0’
-gltCode Motion ‘0 1’
-dataTable @Table2.txt > log_surfrh.txt
This is what part of the table looks like:
Subj1 Subj2 Motion InputFile
1089006 1089016 0.1105899 TCorr1089006.1089016.niml.dset
1089006 1089018 0.1253575 TCorr1089006.1089018.niml.dset
1089006 1089021 0.09190585 TCorr1089006.1089021.niml.dset
1089006 1089028 0.0830889 TCorr1089006.1089028.niml.dset
1089006 1089040 0.118131 TCorr1089006.1089040.niml.dset
1089006 1089050 0.10094065 TCorr1089006.1089050.niml.dset
1089006 1089056 0.0912913 TCorr1089006.1089056.niml.dset
1089006 1089066 0.08701085 TCorr1089006.1089066.niml.dset
1089006 1089074 0.115099 TCorr1089006.1089074.niml.dset
1089006 1089083 0.0935447 TCorr1089006.1089083.niml.dset
1089006 1089084 0.112228 TCorr1089006.1089084.niml.dset
1089006 1089085 0.08747465 TCorr1089006.1089085.niml.dset
1089006 1089093 0.09863275 TCorr1089006.1089093.niml.dset
1089006 1089601 0.10542265 TCorr1089006.1089601.niml.dset
1089006 1089634 0.0941209 TCorr1089006.1089634.niml.dset
1089006 1089650 0.10181235 TCorr1089006.1089650.niml.dset
1089006 1089680 0.1120655 TCorr1089006.1089680.niml.dset
1089006 1089682 0.1202235 TCorr1089006.1089682.niml.dset
1089006 1089685 0.1192395 TCorr1089006.1089685.niml.dset
1089006 1089003 0.08610915 TCorr1089006.1089003.niml.dset
1089006 1089061 0.1124295 TCorr1089006.1089061.niml.dset
1089006 1089062 0.09131605 TCorr1089006.1089062.niml.dset
1089006 1089072 0.08729365 TCorr1089006.1089072.niml.dset
1089006 1089076 0.0850887 TCorr1089006.1089076.niml.dset
1089006 1089087 0.0833467 TCorr1089006.1089087.niml.dset
1089006 1089090 0.0959854 TCorr1089006.1089090.niml.dset
1089006 1089097 0.08748755 TCorr1089006.1089097.niml.dset
I checked the dimensions of the files using 3dinfo -header_line -prefix -same_grid -n4 *.niml.dset, and all the files have the same dimensions.
This is what part of the output looks like for 3dinfo -header_line -prefix -same_grid -n4 *.niml.dset
prefix =grid? Ni Nj Nk Nv
TCorr1089003.1089061.niml.dset 1 198812 1 1 1
TCorr1089003.1089062.niml.dset 1 198812 1 1 1
TCorr1089003.1089072.niml.dset 1 198812 1 1 1
TCorr1089003.1089076.niml.dset 1 198812 1 1 1
TCorr1089003.1089087.niml.dset 1 198812 1 1 1
TCorr1089003.1089090.niml.dset 1 198812 1 1 1
TCorr1089003.1089097.niml.dset 1 198812 1 1 1
TCorr1089003.1089603.niml.dset 1 198812 1 1 1
TCorr1089003.1089604.niml.dset 1 198812 1 1 1
TCorr1089003.1089606.niml.dset 1 198812 1 1 1
A very similar input and datable worked with my other subjects who have undergone volume-based analysis. I’m not really sure what went wrong here.
Is there any way to get around this error?
Thank you so much for all your help! I really appreciate it!
-Monira