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
