3dMVM: "errex.AFNI(paste("The content under -dataTable is not rectangular !", : argument is of length zero"

mkday · October 16, 2023, 4:13pm

Hello,

I have been trying to run a 3dMVM script but keep getting the error:

Error in if (len%%wd != 0) errex.AFNI(paste("The content under -dataTable is not rectangular !", :
argument is of length zero

I have looked through the message board but cannot figure out why the table is not rectangular/where the error is coming from. Below is my 3dMVM script and data table.

Thank you for any help you can provide!
Sincerely,
Mikayla

3dMVM

3dMVM -prefix MVM_Group_Results.seq -jobs 1 \
-bsVars 'group+Age+Sex' \
-qVars 'Age,Sex' \
-SS_type 3 \
-num_glt 3 \
-gltLabel 1 LD_seq_vs_Control_seq -gltCode 1 'group : 1*LD_seq -1*Control_seq' \
-gltLabel 2 Sporadic_seq_vs_Familial_seq -gltCode 2 'group : 1*Sporadic_seq -1*Familial_seq' \
-gltLabel 3 ADLD_seq_vs_ABLD_seq -gltCode 3 'group : 1*ADLD_seq -1*ABLD_seq' \
-mask mask_resamp+tlrc. \
-dataTable 3dMVM_DataTable.seq.orig_Tap.txt

Data Table

Subj group Age  Sex    InputFile
sx01    LD_seq   60  1   stats.sx01.LD_seq+tlrc.[1]
sx02    LD_seq   61  1   stats.sx02.LD_seq+tlrc.[1]
sx03    LD_seq   56  1   stats.sx03.LD_seq+tlrc.[1]
sx05    LD_seq   64  1   stats.sx05.LD_seq+tlrc.[1]
sx06    LD_seq   68  1   stats.sx06.LD_seq+tlrc.[1]
sx08    LD_seq   64  1   stats.sx08.LD_seq+tlrc.[1]
sx09    LD_seq   70  0   stats.sx09.LD_seq+tlrc.[1]
sx10    LD_seq   58  1   stats.sx10.LD_seq+tlrc.[1]
sx11    LD_seq   55  1   stats.sx11.LD_seq+tlrc.[1]
sx12    LD_seq   56  1   stats.sx12.LD_seq+tlrc.[1]
sx13    LD_seq   50  1   stats.sx13.LD_seq+tlrc.[1]
sx14    LD_seq   58  1   stats.sx14.LD_seq+tlrc.[1]
sx15    LD_seq   67  1   stats.sx15.LD_seq+tlrc.[1]
sx17    LD_seq   61  1   stats.sx17.LD_seq+tlrc.[1]
sx18    LD_seq   42  1   stats.sx18.LD_seq+tlrc.[1]
sx19    LD_seq   39  1   stats.sx19.LD_seq+tlrc.[1]
sx20    LD_seq   43  1   stats.sx20.LD_seq+tlrc.[1]
sx21    LD_seq   21  1   stats.sx21.LD_seq+tlrc.[1]
sx22    LD_seq   52  1   stats.sx22.LD_seq+tlrc.[1]
sx23    LD_seq   44  1   stats.sx23.LD_seq+tlrc.[1]
sx24    LD_seq   56  0   stats.sx24.LD_seq+tlrc.[1]
sx25    LD_seq   52  1   stats.sx25.LD_seq+tlrc.[1]
sx27    LD_seq   29  1   stats.sx27.LD_seq+tlrc.[1]
sx28    LD_seq   61  1   stats.sx28.LD_seq+tlrc.[1]
sx29    LD_seq   54  0   stats.sx29.LD_seq+tlrc.[1]
sx30    LD_seq   40  1   stats.sx30.LD_seq+tlrc.[1]
sx31    LD_seq   35  1   stats.sx31.LD_seq+tlrc.[1]
sx32    LD_seq   70  1   stats.sx32.LD_seq+tlrc.[1]
sx33    LD_seq   44  0   stats.sx33.LD_seq+tlrc.[1]
sx34    LD_seq   37  1   stats.sx34.LD_seq+tlrc.[1]
sx35    LD_seq   63  0   stats.sx35.LD_seq+tlrc.[1]
sn05    LD_seq   65  1   stats.sn05.LD_seq+tlrc.[1]
sn07    LD_seq   70  1   stats.sn07.LD_seq+tlrc.[1]
sn13    LD_seq   63  0   stats.sn13.LD_seq+tlrc.[1]
sn16    LD_seq   31  1   stats.sn16.LD_seq+tlrc.[1]
sn21    LD_seq   54  0   stats.sn21.LD_seq+tlrc.[1]
sn30    LD_seq   34  1   stats.sn30.LD_seq+tlrc.[1]
sq02    LD_seq   55  1   stats.sq02.LD_seq+tlrc.[1]
sq04    LD_seq   69  0   stats.sq04.LD_seq+tlrc.[1]
sq05    LD_seq   66  1   stats.sq05.LD_seq+tlrc.[1]
sq06    LD_seq   43  1   stats.sq06.LD_seq+tlrc.[1]
sq07    LD_seq   58  0   stats.sq07.LD_seq+tlrc.[1]
sq08    LD_seq   65  0   stats.sq08.LD_seq+tlrc.[1]
sq09    LD_seq   38  1   stats.sq09.LD_seq+tlrc.[1]
sq10    LD_seq   67  1   stats.sq10.LD_seq+tlrc.[1]
sq11    LD_seq   37  0   stats.sq11.LD_seq+tlrc.[1]
sq12    LD_seq   63  1   stats.sq12.LD_seq+tlrc.[1]
sq13    LD_seq   71  1   stats.sq13.LD_seq+tlrc.[1]
sq15    LD_seq   64  1   stats.sq15.LD_seq+tlrc.[1]
sq16    LD_seq   58  1   stats.sq16.LD_seq+tlrc.[1]
sq17    LD_seq   48  1   stats.sq17.LD_seq+tlrc.[1]
sq18    LD_seq   65  1   stats.sq18.LD_seq+tlrc.[1]
sq19    LD_seq   51  0   stats.sq19.LD_seq+tlrc.[1]
sq20    LD_seq   49  1   stats.sq20.LD_seq+tlrc.[1]
sq21    LD_seq   58  1   stats.sq21.LD_seq+tlrc.[1]
sq22    LD_seq   38  1   stats.sq22.LD_seq+tlrc.[1]
sq23    LD_seq   61  1   stats.sq23.LD_seq+tlrc.[1]
sq26    LD_seq   49  1   stats.sq26.LD_seq+tlrc.[1]
sq27    LD_seq   52  1   stats.sq27.LD_seq+tlrc.[1]
sq28    LD_seq   73  1   stats.sq28.LD_seq+tlrc.[1]
sq31    LD_seq   50  0   stats.sq31.LD_seq+tlrc.[1]
sq32    LD_seq   52  1   stats.sq32.LD_seq+tlrc.[1]
sq33    LD_seq   53  1   stats.sq33.LD_seq+tlrc.[1]
sq35    LD_seq   77  1   stats.sq35.LD_seq+tlrc.[1]
sq36    LD_seq   51  1   stats.sq36.LD_seq+tlrc.[1]
sq37    LD_seq   54  0   stats.sq37.LD_seq+tlrc.[1]
sq38    LD_seq   50  1   stats.sq38.LD_seq+tlrc.[1]
sq40    LD_seq   51  0   stats.sq40.LD_seq+tlrc.[1]
sq41    LD_seq   58  1   stats.sq41.LD_seq+tlrc.[1]
sq43    LD_seq   59  1   stats.sq43.LD_seq+tlrc.[1]
sq44    LD_seq   31  1   stats.sq44.LD_seq+tlrc.[1]
sq45    LD_seq   29  0   stats.sq45.LD_seq+tlrc.[1]
sq46    LD_seq   50  0   stats.sq46.LD_seq+tlrc.[1]
sn02    LD_seq   50  1   stats.sn02.LD_seq+tlrc.[1]
sn03    LD_seq   67  1   stats.sn03.LD_seq+tlrc.[1]
sn04    LD_seq   67  1   stats.sn04.LD_seq+tlrc.[1]
sn06    LD_seq   68  0   stats.sn06.LD_seq+tlrc.[1]
sn08    LD_seq   63  0   stats.sn08.LD_seq+tlrc.[1]
sn09    LD_seq   57  1   stats.sn09.LD_seq+tlrc.[1]
sn11    LD_seq   66  1   stats.sn11.LD_seq+tlrc.[1]
sn12    LD_seq   69  1   stats.sn12.LD_seq+tlrc.[1]
sn15    LD_seq   59  1   stats.sn15.LD_seq+tlrc.[1]
sn17    LD_seq   65  1   stats.sn17.LD_seq+tlrc.[1]
sn18    LD_seq   57  1   stats.sn18.LD_seq+tlrc.[1]
sn19    LD_seq   25  1   stats.sn19.LD_seq+tlrc.[1]
sn20    LD_seq   66  1   stats.sn20.LD_seq+tlrc.[1]
sn22    LD_seq   23  1   stats.sn22.LD_seq+tlrc.[1]
sn23    LD_seq   30  1   stats.sn23.LD_seq+tlrc.[1]
sn24    LD_seq   56  1   stats.sn24.LD_seq+tlrc.[1]
sn25    LD_seq   50  1   stats.sn25.LD_seq+tlrc.[1]
sn26    LD_seq   75  1   stats.sn26.LD_seq+tlrc.[1]
sn27    LD_seq   57  1   stats.sn27.LD_seq+tlrc.[1]
sn28    LD_seq   70  0   stats.sn28.LD_seq+tlrc.[1]
sn29    LD_seq   61  1   stats.sn29.LD_seq+tlrc.[1]
sn32    LD_seq   39  1   stats.sn32.LD_seq+tlrc.[1]
sn58    LD_seq   52  0   stats.sn58.LD_seq+tlrc.[1]
sz03    Control_seq   63  1   stats.sz03.control_seq+tlrc.[1]
sz07    Control_seq   32  0   stats.sz07.control_seq+tlrc.[1]
sz09    Control_seq   42  0   stats.sz09.control_seq+tlrc.[1]
sz12    Control_seq   56  1   stats.sz12.control_seq+tlrc.[1]
sz13    Control_seq   67  0   stats.sz13.control_seq+tlrc.[1]
sz14    Control_seq   55  0   stats.sz14.control_seq+tlrc.[1]
sz15    Control_seq   43  1   stats.sz15.control_seq+tlrc.[1]
sz16    Control_seq   57  1   stats.sz16.control_seq+tlrc.[1]
sz17    Control_seq   38  0   stats.sz17.control_seq+tlrc.[1]
sz18    Control_seq   78  1   stats.sz18.control_seq+tlrc.[1]
sz21    Control_seq   41  1   stats.sz21.control_seq+tlrc.[1]
sz22    Control_seq   47  0   stats.sz22.control_seq+tlrc.[1]
sz23    Control_seq   40  1   stats.sz23.control_seq+tlrc.[1]
sz27    Control_seq   59  1   stats.sz27.control_seq+tlrc.[1]
sz29    Control_seq   51  1   stats.sz29.control_seq+tlrc.[1]
sz30    Control_seq   43  1   stats.sz30.control_seq+tlrc.[1]
sz32    Control_seq   48  1   stats.sz32.control_seq+tlrc.[1]
sz33    Control_seq   55  1   stats.sz33.control_seq+tlrc.[1]
sz34    Control_seq   60  0   stats.sz34.control_seq+tlrc.[1]
sz35    Control_seq   50  1   stats.sz35.control_seq+tlrc.[1]
sz37    Control_seq   49  1   stats.sz37.control_seq+tlrc.[1]
sz38    Control_seq   38  1   stats.sz38.control_seq+tlrc.[1]
sz39    Control_seq   38  0   stats.sz39.control_seq+tlrc.[1]
sz40    Control_seq   37  1   stats.sz40.control_seq+tlrc.[1]
sz43    Control_seq   47  0   stats.sz43.control_seq+tlrc.[1]
sz44    Control_seq   49  0   stats.sz44.control_seq+tlrc.[1]
sz45    Control_seq   39  0   stats.sz45.control_seq+tlrc.[1]
sz46    Control_seq   58  1   stats.sz46.control_seq+tlrc.[1]
sz48    Control_seq   66  1   stats.sz48.control_seq+tlrc.[1]
sz49    Control_seq   67  1   stats.sz49.control_seq+tlrc.[1]
sz51    Control_seq   46  1   stats.sz51.control_seq+tlrc.[1]
sz53    Control_seq   48  0   stats.sz53.control_seq+tlrc.[1]
sz54    Control_seq   53  0   stats.sz54.control_seq+tlrc.[1]
sz55    Control_seq   52  1   stats.sz55.control_seq+tlrc.[1]
sx01    Sporadic_seq   60  1   stats.sx01.sporadic_seq+tlrc.[1]
sx02    Sporadic_seq   61  1   stats.sx02.sporadic_seq+tlrc.[1]
sx03    Sporadic_seq   56  1   stats.sx03.sporadic_seq+tlrc.[1]
sx05    Sporadic_seq   64  1   stats.sx05.sporadic_seq+tlrc.[1]
sx06    Sporadic_seq   68  1   stats.sx06.sporadic_seq+tlrc.[1]
sx08    Sporadic_seq   64  1   stats.sx08.sporadic_seq+tlrc.[1]
sx09    Sporadic_seq   70  0   stats.sx09.sporadic_seq+tlrc.[1]
sx10    Sporadic_seq   58  1   stats.sx10.sporadic_seq+tlrc.[1]
sx11    Sporadic_seq   55  1   stats.sx11.sporadic_seq+tlrc.[1]
sx12    Sporadic_seq   56  1   stats.sx12.sporadic_seq+tlrc.[1]
sx13    Sporadic_seq   50  1   stats.sx13.sporadic_seq+tlrc.[1]
sx14    Sporadic_seq   58  1   stats.sx14.sporadic_seq+tlrc.[1]
sx15    Sporadic_seq   67  1   stats.sx15.sporadic_seq+tlrc.[1]
sx17    Sporadic_seq   61  1   stats.sx17.sporadic_seq+tlrc.[1]
sx18    Sporadic_seq   42  1   stats.sx18.sporadic_seq+tlrc.[1]
sx19    Sporadic_seq   39  1   stats.sx19.sporadic_seq+tlrc.[1]
sx20    Sporadic_seq   43  1   stats.sx20.sporadic_seq+tlrc.[1]
sx21    Sporadic_seq   21  1   stats.sx21.sporadic_seq+tlrc.[1]
sx22    Sporadic_seq   52  1   stats.sx22.sporadic_seq+tlrc.[1]
sx23    Sporadic_seq   44  1   stats.sx23.sporadic_seq+tlrc.[1]
sx24    Sporadic_seq   56  0   stats.sx24.sporadic_seq+tlrc.[1]
sx25    Sporadic_seq   52  1   stats.sx25.sporadic_seq+tlrc.[1]
sx27    Sporadic_seq   29  1   stats.sx27.sporadic_seq+tlrc.[1]
sx28    Sporadic_seq   61  1   stats.sx28.sporadic_seq+tlrc.[1]
sx29    Sporadic_seq   54  0   stats.sx29.sporadic_seq+tlrc.[1]
sx30    Sporadic_seq   40  1   stats.sx30.sporadic_seq+tlrc.[1]
sx31    Sporadic_seq   35  1   stats.sx31.sporadic_seq+tlrc.[1]
sx32    Sporadic_seq   70  1   stats.sx32.sporadic_seq+tlrc.[1]
sx33    Sporadic_seq   44  0   stats.sx33.sporadic_seq+tlrc.[1]
sx34    Sporadic_seq   37  1   stats.sx34.sporadic_seq+tlrc.[1]
sx35    Sporadic_seq   63  0   stats.sx35.sporadic_seq+tlrc.[1]
sq02    Sporadic_seq   55  1   stats.sq02.sporadic_seq+tlrc.[1]
sq04    Sporadic_seq   69  0   stats.sq04.sporadic_seq+tlrc.[1]
sq05    Sporadic_seq   66  1   stats.sq05.sporadic_seq+tlrc.[1]
sq06    Sporadic_seq   43  1   stats.sq06.sporadic_seq+tlrc.[1]
sq07    Sporadic_seq   58  0   stats.sq07.sporadic_seq+tlrc.[1]
sq08    Sporadic_seq   65  0   stats.sq08.sporadic_seq+tlrc.[1]
sq09    Sporadic_seq   38  1   stats.sq09.sporadic_seq+tlrc.[1]
sq10    Sporadic_seq   67  1   stats.sq10.sporadic_seq+tlrc.[1]
sq11    Sporadic_seq   37  0   stats.sq11.sporadic_seq+tlrc.[1]
sq12    Sporadic_seq   63  1   stats.sq12.sporadic_seq+tlrc.[1]
sq13    Sporadic_seq   71  1   stats.sq13.sporadic_seq+tlrc.[1]
sq15    Sporadic_seq   64  1   stats.sq15.sporadic_seq+tlrc.[1]
sq16    Sporadic_seq   58  1   stats.sq16.sporadic_seq+tlrc.[1]
sq17    Sporadic_seq   48  1   stats.sq17.sporadic_seq+tlrc.[1]
sq18    Sporadic_seq   65  1   stats.sq18.sporadic_seq+tlrc.[1]
sq19    Sporadic_seq   51  0   stats.sq19.sporadic_seq+tlrc.[1]
sq20    Sporadic_seq   49  1   stats.sq20.sporadic_seq+tlrc.[1]
sq21    Sporadic_seq   58  1   stats.sq21.sporadic_seq+tlrc.[1]
sq22    Sporadic_seq   38  1   stats.sq22.sporadic_seq+tlrc.[1]
sq23    Sporadic_seq   61  1   stats.sq23.sporadic_seq+tlrc.[1]
sq26    Sporadic_seq   49  1   stats.sq26.sporadic_seq+tlrc.[1]
sq27    Sporadic_seq   52  1   stats.sq27.sporadic_seq+tlrc.[1]
sq28    Sporadic_seq   73  1   stats.sq28.sporadic_seq+tlrc.[1]
sq31    Sporadic_seq   50  0   stats.sq31.sporadic_seq+tlrc.[1]
sq32    Sporadic_seq   52  1   stats.sq32.sporadic_seq+tlrc.[1]
sq33    Sporadic_seq   53  1   stats.sq33.sporadic_seq+tlrc.[1]
sq35    Sporadic_seq   77  1   stats.sq35.sporadic_seq+tlrc.[1]
sq36    Sporadic_seq   51  1   stats.sq36.sporadic_seq+tlrc.[1]
sq37    Sporadic_seq   54  0   stats.sq37.sporadic_seq+tlrc.[1]
sq38    Sporadic_seq   50  1   stats.sq38.sporadic_seq+tlrc.[1]
sq40    Sporadic_seq   51  0   stats.sq40.sporadic_seq+tlrc.[1]
sq41    Sporadic_seq   58  1   stats.sq41.sporadic_seq+tlrc.[1]
sq43    Sporadic_seq   59  1   stats.sq43.sporadic_seq+tlrc.[1]
sq44    Sporadic_seq   31  1   stats.sq44.sporadic_seq+tlrc.[1]
sq45    Sporadic_seq   29  0   stats.sq45.sporadic_seq+tlrc.[1]
sq46    Sporadic_seq   50  0   stats.sq46.sporadic_seq+tlrc.[1]
sn02    Familial_seq   50  1   stats.sn02.familial_seq+tlrc.[1]
sn03    Familial_seq   67  1   stats.sn03.familial_seq+tlrc.[1]
sn04    Familial_seq   67  1   stats.sn04.familial_seq+tlrc.[1]
sn05    Familial_seq   65  1   stats.sn05.familial_seq+tlrc.[1]
sn06    Familial_seq   68  0   stats.sn06.familial_seq+tlrc.[1]
sn07    Familial_seq   70  1   stats.sn07.familial_seq+tlrc.[1]
sn08    Familial_seq   63  0   stats.sn08.familial_seq+tlrc.[1]
sn09    Familial_seq   57  1   stats.sn09.familial_seq+tlrc.[1]
sn11    Familial_seq   66  1   stats.sn11.familial_seq+tlrc.[1]
sn12    Familial_seq   69  1   stats.sn12.familial_seq+tlrc.[1]
sn13    Familial_seq   63  0   stats.sn13.familial_seq+tlrc.[1]
sn15    Familial_seq   59  1   stats.sn15.familial_seq+tlrc.[1]
sn16    Familial_seq   31  1   stats.sn16.familial_seq+tlrc.[1]
sn17    Familial_seq   65  1   stats.sn17.familial_seq+tlrc.[1]
sn18    Familial_seq   57  1   stats.sn18.familial_seq+tlrc.[1]
sn19    Familial_seq   25  1   stats.sn19.familial_seq+tlrc.[1]
sn20    Familial_seq   66  1   stats.sn20.familial_seq+tlrc.[1]
sn21    Familial_seq   54  0   stats.sn21.familial_seq+tlrc.[1]
sn22    Familial_seq   23  1   stats.sn22.familial_seq+tlrc.[1]
sn23    Familial_seq   30  1   stats.sn23.familial_seq+tlrc.[1]
sn24    Familial_seq   56  1   stats.sn24.familial_seq+tlrc.[1]
sn25    Familial_seq   50  1   stats.sn25.familial_seq+tlrc.[1]
sn26    Familial_seq   75  1   stats.sn26.familial_seq+tlrc.[1]
sn27    Familial_seq   57  1   stats.sn27.familial_seq+tlrc.[1]
sn28    Familial_seq   70  0   stats.sn28.familial_seq+tlrc.[1]
sn29    Familial_seq   61  1   stats.sn29.familial_seq+tlrc.[1]
sn30    Familial_seq   34  1   stats.sn30.familial_seq+tlrc.[1]
sn32    Familial_seq   39  1   stats.sn32.familial_seq+tlrc.[1]
sn58    Familial_seq   52  0   stats.sn58.familial_seq+tlrc.[1]
sq02    ADLD_seq   55  1   stats.sq02.ADLD_seq+tlrc.[1]
sq04    ADLD_seq   69  0   stats.sq04.ADLD_seq+tlrc.[1]
sq05    ADLD_seq   66  1   stats.sq05.ADLD_seq+tlrc.[1]
sq06    ADLD_seq   43  1   stats.sq06.ADLD_seq+tlrc.[1]
sq07    ADLD_seq   58  0   stats.sq07.ADLD_seq+tlrc.[1]
sq08    ADLD_seq   65  0   stats.sq08.ADLD_seq+tlrc.[1]
sq09    ADLD_seq   38  1   stats.sq09.ADLD_seq+tlrc.[1]
sq10    ADLD_seq   67  1   stats.sq10.ADLD_seq+tlrc.[1]
sq11    ADLD_seq   37  0   stats.sq11.ADLD_seq+tlrc.[1]
sq12    ADLD_seq   63  1   stats.sq12.ADLD_seq+tlrc.[1]
sq13    ADLD_seq   71  1   stats.sq13.ADLD_seq+tlrc.[1]
sq15    ADLD_seq   64  1   stats.sq15.ADLD_seq+tlrc.[1]
sq16    ADLD_seq   58  1   stats.sq16.ADLD_seq+tlrc.[1]
sq17    ADLD_seq   48  1   stats.sq17.ADLD_seq+tlrc.[1]
sq18    ADLD_seq   65  1   stats.sq18.ADLD_seq+tlrc.[1]
sq19    ADLD_seq   51  0   stats.sq19.ADLD_seq+tlrc.[1]
sq20    ADLD_seq   49  1   stats.sq20.ADLD_seq+tlrc.[1]
sq21    ADLD_seq   58  1   stats.sq21.ADLD_seq+tlrc.[1]
sq22    ADLD_seq   38  1   stats.sq22.ADLD_seq+tlrc.[1]
sq23    ADLD_seq   61  1   stats.sq23.ADLD_seq+tlrc.[1]
sq26    ADLD_seq   49  1   stats.sq26.ADLD_seq+tlrc.[1]
sq27    ADLD_seq   52  1   stats.sq27.ADLD_seq+tlrc.[1]
sq28    ADLD_seq   73  1   stats.sq28.ADLD_seq+tlrc.[1]
sq31    ADLD_seq   50  0   stats.sq31.ADLD_seq+tlrc.[1]
sq32    ADLD_seq   52  1   stats.sq32.ADLD_seq+tlrc.[1]
sq33    ADLD_seq   53  1   stats.sq33.ADLD_seq+tlrc.[1]
sq35    ADLD_seq   77  1   stats.sq35.ADLD_seq+tlrc.[1]
sq36    ADLD_seq   51  1   stats.sq36.ADLD_seq+tlrc.[1]
sq37    ADLD_seq   54  0   stats.sq37.ADLD_seq+tlrc.[1]
sq38    ADLD_seq   50  1   stats.sq38.ADLD_seq+tlrc.[1]
sq40    ADLD_seq   51  0   stats.sq40.ADLD_seq+tlrc.[1]
sq41    ADLD_seq   58  1   stats.sq41.ADLD_seq+tlrc.[1]
sq43    ADLD_seq   59  1   stats.sq43.ADLD_seq+tlrc.[1]
sq44    ADLD_seq   31  1   stats.sq44.ADLD_seq+tlrc.[1]
sq45    ADLD_seq   29  0   stats.sq45.ADLD_seq+tlrc.[1]
sq46    ADLD_seq   50  0   stats.sq46.ADLD_seq+tlrc.[1]
sn02    ADLD_seq   50  1   stats.sn02.ADLD_seq+tlrc.[1]
sn03    ADLD_seq   67  1   stats.sn03.ADLD_seq+tlrc.[1]
sn04    ADLD_seq   67  1   stats.sn04.ADLD_seq+tlrc.[1]
sn06    ADLD_seq   68  0   stats.sn06.ADLD_seq+tlrc.[1]
sn08    ADLD_seq   63  0   stats.sn08.ADLD_seq+tlrc.[1]
sn09    ADLD_seq   57  1   stats.sn09.ADLD_seq+tlrc.[1]
sn11    ADLD_seq   66  1   stats.sn11.ADLD_seq+tlrc.[1]
sn12    ADLD_seq   69  1   stats.sn12.ADLD_seq+tlrc.[1]
sn15    ADLD_seq   59  1   stats.sn15.ADLD_seq+tlrc.[1]
sn17    ADLD_seq   65  1   stats.sn17.ADLD_seq+tlrc.[1]
sn18    ADLD_seq   57  1   stats.sn18.ADLD_seq+tlrc.[1]
sn19    ADLD_seq   25  1   stats.sn19.ADLD_seq+tlrc.[1]
sn20    ADLD_seq   66  1   stats.sn20.ADLD_seq+tlrc.[1]
sn22    ADLD_seq   23  1   stats.sn22.ADLD_seq+tlrc.[1]
sn23    ADLD_seq   30  1   stats.sn23.ADLD_seq+tlrc.[1]
sn24    ADLD_seq   56  1   stats.sn24.ADLD_seq+tlrc.[1]
sn25    ADLD_seq   50  1   stats.sn25.ADLD_seq+tlrc.[1]
sn26    ADLD_seq   75  1   stats.sn26.ADLD_seq+tlrc.[1]
sn27    ADLD_seq   57  1   stats.sn27.ADLD_seq+tlrc.[1]
sn28    ADLD_seq   70  0   stats.sn28.ADLD_seq+tlrc.[1]
sn29    ADLD_seq   61  1   stats.sn29.ADLD_seq+tlrc.[1]
sn32    ADLD_seq   39  1   stats.sn32.ADLD_seq+tlrc.[1]
sn58    ADLD_seq   52  0   stats.sn58.ADLD_seq+tlrc.[1]
sx01    ABLD_seq   60  1   stats.sx01.ABLD_seq+tlrc.[1]
sx02    ABLD_seq   61  1   stats.sx02.ABLD_seq+tlrc.[1]
sx03    ABLD_seq   56  1   stats.sx03.ABLD_seq+tlrc.[1]
sx05    ABLD_seq   64  1   stats.sx05.ABLD_seq+tlrc.[1]
sx06    ABLD_seq   68  1   stats.sx06.ABLD_seq+tlrc.[1]
sx08    ABLD_seq   64  1   stats.sx08.ABLD_seq+tlrc.[1]
sx09    ABLD_seq   70  0   stats.sx09.ABLD_seq+tlrc.[1]
sx10    ABLD_seq   58  1   stats.sx10.ABLD_seq+tlrc.[1]
sx11    ABLD_seq   55  1   stats.sx11.ABLD_seq+tlrc.[1]
sx12    ABLD_seq   56  1   stats.sx12.ABLD_seq+tlrc.[1]
sx13    ABLD_seq   50  1   stats.sx13.ABLD_seq+tlrc.[1]
sx14    ABLD_seq   58  1   stats.sx14.ABLD_seq+tlrc.[1]
sx15    ABLD_seq   67  1   stats.sx15.ABLD_seq+tlrc.[1]
sx17    ABLD_seq   61  1   stats.sx17.ABLD_seq+tlrc.[1]
sx18    ABLD_seq   42  1   stats.sx18.ABLD_seq+tlrc.[1]
sx19    ABLD_seq   39  1   stats.sx19.ABLD_seq+tlrc.[1]
sx20    ABLD_seq   43  1   stats.sx20.ABLD_seq+tlrc.[1]
sx21    ABLD_seq   21  1   stats.sx21.ABLD_seq+tlrc.[1]
sx22    ABLD_seq   52  1   stats.sx22.ABLD_seq+tlrc.[1]
sx23    ABLD_seq   44  1   stats.sx23.ABLD_seq+tlrc.[1]
sx24    ABLD_seq   56  0   stats.sx24.ABLD_seq+tlrc.[1]
sx25    ABLD_seq   52  1   stats.sx25.ABLD_seq+tlrc.[1]
sx27    ABLD_seq   29  1   stats.sx27.ABLD_seq+tlrc.[1]
sx28    ABLD_seq   61  1   stats.sx28.ABLD_seq+tlrc.[1]
sx29    ABLD_seq   54  0   stats.sx29.ABLD_seq+tlrc.[1]
sx30    ABLD_seq   40  1   stats.sx30.ABLD_seq+tlrc.[1]
sx31    ABLD_seq   35  1   stats.sx31.ABLD_seq+tlrc.[1]
sx32    ABLD_seq   70  1   stats.sx32.ABLD_seq+tlrc.[1]
sx33    ABLD_seq   44  0   stats.sx33.ABLD_seq+tlrc.[1]
sx34    ABLD_seq   37  1   stats.sx34.ABLD_seq+tlrc.[1]
sx35    ABLD_seq   63  0   stats.sx35.ABLD_seq+tlrc.[1]
sn05    ABLD_seq   65  1   stats.sn05.ABLD_seq+tlrc.[1]
sn07    ABLD_seq   70  1   stats.sn07.ABLD_seq+tlrc.[1]
sn13    ABLD_seq   63  0   stats.sn13.ABLD_seq+tlrc.[1]
sn16    ABLD_seq   31  1   stats.sn16.ABLD_seq+tlrc.[1]
sn21    ABLD_seq   54  0   stats.sn21.ABLD_seq+tlrc.[1]
sn30    ABLD_seq   34  1   stats.sn30.ABLD_seq+tlrc.[1]

discoraj · October 16, 2023, 10:08pm

Hi,

It looks like the sz.. subjects (Group = Control_seq) have only one InputFile per subject.
The rest have 3 files per subject so it would appear that you want a repeated measures anova.
I think you may want to try 3dLMEr
https://afni.nimh.nih.gov/pub/dist/doc/htmldoc/programs/alpha/3dLMEr_sphx.html#ahelp-3dlmer

thanks, Justin

Gang · October 17, 2023, 1:17am

A couple of conceptual points:

For certain individuals, they are categorized into three distinct groups simultaneously. I recommend conducting each group comparison using a separate model with 3dMVM.
It's essential to treat Sex as a categorical variable. Therefore, modify the following line:

-qVars 'Age,Sex' \

to

-qVars 'Age' \

Gang

discoraj · October 17, 2023, 1:03pm

Hi,

@Gang - That still doesn't explain the error:

if (len%%wd != 0) errex.AFNI(paste("The content under -dataTable is not rectangular !", :
argument is of length zero

I had to move the dataTable into the command to get it to read past that error.
My dataTable checking code is catching the error as if it can't find the keyword InputFile.
So wd doesn't get created (or is NULL) and the check for rectangularity fails.
Not sure what the real problem is.

So @mkday, you may want to put the dataTable into the command with slashes at the end of each line. Like this:

Subj group Age  Sex    InputFile \
sx01    LD_seq   60  1   stats.sx01.LD_seq+tlrc.[1] \
sx02    LD_seq   61  1   stats.sx02.LD_seq+tlrc.[1] \
sx03    LD_seq   56  1   stats.sx03.LD_seq+tlrc.[1] \
sx05    LD_seq   64  1   stats.sx05.LD_seq+tlrc.[1] \
sx06    LD_seq   68  1   stats.sx06.LD_seq+tlrc.[1] \
sx08    LD_seq   64  1   stats.sx08.LD_seq+tlrc.[1] \
etc.

Thanks, Justin

discoraj · October 17, 2023, 1:08pm

Oh!

The -dataTable 3dMVM_DataTable.seq.orig_Tap.txt might need an @ character.
like this:

-dataTable @3dMVM_DataTable.seq.orig_Tap.txt

Try that and let us know.

Thanks, Justin

mkday · October 17, 2023, 2:00pm

Hi @discoraj and @Gang ,

Thank you both for your insight. Unfortunately, I have tried adding back slashes with no success, and the terminal does not recognize the file name of the data table with the preceding "@". It may be a problem with the grouping, for which I will try running separate 3dMVM scripts or 3dLMEr.

I will continue to troubleshoot and will follow up if I have any success. Thank you both for your time!

mkday · October 23, 2023, 6:26pm

Hello,

I wanted to follow up with this thread. I ended up going with 3dMVM and renamed the subject IDs based on their group so that they wouldn't repeat (ex: sx01 became sx01LD, sx01S, sx01AB). I finally stopped getting the "rectangular" error message, and got a new one saying that the data table could not be found. I put the "@" back in front of the data table file and it worked, so I am not sure why I got the same error with and without it.

Thanks for your help!!

Gang · October 24, 2023, 2:11am

I put the "@" back in front of the data table file and it worked, so I am not sure why I got the same error with and without it.

To ensure that 3dMVM accurately reads the data information, it's essential to include the "@" symbol before the data table filename. Do the results appear to make sense to you?

Gang

mkday · October 24, 2023, 1:54pm

Hi Gang,

I ran 3dMVM with the "@" symbol so everything ran properly - the results make sense. Thank you for your time!

Gang · October 25, 2023, 3:20pm

While this workaround prevented 3dMVM from failing, it's important to note that the resulting inferences might be somewhat inflated. A more suitable approach would be to construct separate models for each group comparison.

Gang