3dttest++ w/ETAC not outputting mthresh NIFTI files

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1

Hello,
We are not receiving the ETAC.mthresh nifti output files when running 3dttest++ using ETAC. There are no error messages along the way and 3dttest++ is not failing anywhere while running. In fact, it seems as though everything is outputting correctly until the end with 3dMultiThresh. Could you offer some support? We are using AFNI version: Precompiled binary linux_ubuntu_16_64: Feb 25 2019 (Version AFNI_19.0.18 ‘Tiberius’). Below I’ve listed: Files that did output, Our AFNI Call, and AFNI’s Output.

  1. Output Files:

    • TTest_ETAC_All_Yng_3mm_Vers_11_In-Out+tlrc (BRIK/HEAD)
    • TTest_ETAC_All_Yng_3mm_Vers_11_In-Out.B3.0.nii
    • TT.vvOWXSeNXYV.TstB.ETACmask.global.2sid.5perc.nii.gz
    • TT.vvOWXSeNXYV.TstB.ETACmaskALL.global.2sid.5perc.nii.gz
    • globalETAC.mthresh.TT.vvOWXSeNXYV.TstB.ETAC.B3.0.5perc.niml

  2. AFNI Call: (Reformatted to make it easier to read. 37 subjects total with only shown 1 to save space)

    3dttest++
    -paired
    -mask /BIDS/derivatives/bold/MNI_2x5mm_mask.nii.gz
    -setA InSq_All_Yng
    sub-111958L /BIDS/derivatives/bold/sub-111958L/sub-111958L_Vers_11_Rsmp+tlrc[1]
    -setB OtSq_All_Yng
    sub-111958L /BIDS/derivatives/bold/sub-111958L/sub-111958L_Vers_11_Rsmp+tlrc[5]
    -labela InSq_All_Yng
    -labelb OtSq_All_Yng
    -ETAC
    -ETAC_blur 3
    -ETAC_opt sid=2:pthr=0.005,0.01,0.02,0.03,0.05:name=TstB:NN=3
    -covariates /BIDS/derivatives/bold/TTest_wETAC_Covar.txt
    -prefix /BIDS/derivatives/bold/TTest_ETAC_All_Yng_3mm_Vers_11_In-Out

  3. AFNI Output:
    ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
    ++ Authored by: Zhark++
    ++ 120704 voxels in -mask dataset
    ++ option -setA :: processing as LONG form (label label dset label dset …)
    ++ have 37 volumes corresponding to option ‘-setA’
    ++ option -setB :: processing as LONG form (label label dset label dset …)
    ++ have 37 volumes corresponding to option ‘-setB’
    ++ Number of 3dXClustSim threads set to 40

    • Default -ETAC prefix set to ‘TT.vvOWXSeNXYV’
      ++ only 1 value after ‘-ETAC_blur’ – hope that’s OK
      ++ ETAC extra blur = 3.00
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ === ETAC memory requirements:
    • = 2,414,080,000 (2.4 billion) bytes of pseudo-data in temporary .sdat files.
    • = It is best to store these files on a solid-state disk (SSD)
    • = using the ‘-tempdir’ option.
    • = There are 135,158,521,856 (135 billion) bytes of memory on your system.
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be InSq_All_Yng - OtSq_All_Yng
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ loading -setA datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setB :: 1424 vectors are constant
      ++ Output dataset ./TT.vvOWXSeNXYV.savedata.nii
      ++ Memory usage now = 121,689,458 (122 million)
      ++ t-testing:0123456789.0123456789.0123456789.0123456789.0123456789.!
    • skipped 1424 voxels completely for having constant data
      ++ ---------- End of analyses – freeing workspaces ----------
      ++ Memory usage now = 230,124,642 (230 million)
      ++ Creating FDR curves in output dataset
      ++ Smallest FDR q [1 InSq_All_Yng-OtSq_All_Yng_Zscr] = 0.0134164
      *+ WARNING: Smallest FDR q [3 InSq_All_Yng-OtSq_All_Yng_Group_Zscr] = 0.91522 ==> few true single voxel detections
      ++ Smallest FDR q [5 InSq_All_Yng_Zscr] = 1.65205e-05
      ++ Smallest FDR q [7 InSq_All_Yng_Group_Zscr] = 0.0104918
      ++ Smallest FDR q [9 OtSq_All_Yng_Zscr] = 5.83772e-05
      ++ Smallest FDR q [11 OtSq_All_Yng_Group_Zscr] = 0.0225222
    • Added 6 FDR curves to dataset
      ++ Output dataset /Young_Study/BIDS/derivatives/bold/TTest_ETAC_All_Yng_3mm_Vers_11_In-Out+tlrc.BRIK
      ++ Output dataset ./TT.vvOWXSeNXYV.resid.nii
    • paired test: results are InSq_All_Yng - OtSq_All_Yng
      ++ ================ Starting -ETAC calculations ================
    • === temporary files will have prefix TT.vvOWXSeNXYV ===
    • === running 40 -randomsign jobs (250 iterations per job) ===
    • === creating 2,414,080,000 (2.4 billion) bytes of pseudo-data in .sdat files ===
    • — 3dXClustSim reads .sdat files to compute cluster-threshold statistics —
    • — there is 135,158,521,856 (135 billion) bytes of memory on your system —
      ++ 3dttest++ ------ start simulations for blur case 3.0 (B3.0) : elapsed = 3.8 s
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ loading -setA datasets
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 618735797 932895062
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0000.sdat for output
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 619846948 934006213
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0001.sdat for output
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 620958099 935117364
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ opened file ./TT.vvOWXSeNXYV.0002.sdat for output
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 622069250 936228515
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0003.sdat for output
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 623180401 937339666
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0004.sdat for output
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 624291552 938450817
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ opened file ./TT.vvOWXSeNXYV.0005.sdat for output
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 625402703 939561968
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0006.sdat for output
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 626513854 940673119
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ opened file ./TT.vvOWXSeNXYV.0007.sdat for output
      ++ loading -setA datasets
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 627625005 941784270
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0008.sdat for output
      ++ loading -setA datasets
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 629847307 944006572
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0010.sdat for output
      ++ loading -setA datasets
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 628736156 942895421
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ opened file ./TT.vvOWXSeNXYV.0009.sdat for output
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ loading -setA datasets
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 630958458 945117723
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ opened file ./TT.vvOWXSeNXYV.0011.sdat for output
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 632069609 946228874
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ opened file ./TT.vvOWXSeNXYV.0012.sdat for output
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 633180760 947340025
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0013.sdat for output
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 634291911 948451176
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0014.sdat for output
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 635403062 949562327
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ opened file ./TT.vvOWXSeNXYV.0015.sdat for output
      ++ loading -setA datasets
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 636514213 950673478
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0016.sdat for output
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 637625364 951784629
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ opened file ./TT.vvOWXSeNXYV.0017.sdat for output
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 638736515 952895780
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0018.sdat for output
      ++ loading -setA datasets
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 639847666 954006931
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0019.sdat for output
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 640958817 955118082
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ opened file ./TT.vvOWXSeNXYV.0020.sdat for output
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 642069968 956229233
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0021.sdat for output
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 643181119 957340384
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0022.sdat for output
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 644292270 958451535
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0023.sdat for output
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 645403421 959562686
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ opened file ./TT.vvOWXSeNXYV.0024.sdat for output
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 646514572 960673837
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ 120704 voxels in -mask dataset
      ++ opened file ./TT.vvOWXSeNXYV.0025.sdat for output
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ loading -setA datasets
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ loading -setB datasets
      ++ loading -setB datasets
      ++ loading -setB datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 647625723 961784988
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0026.sdat for output
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ loading -setA datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 648736874 962896139
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ opened file ./TT.vvOWXSeNXYV.0027.sdat for output
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 649848025 964007290
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ opened file ./TT.vvOWXSeNXYV.0028.sdat for output
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 650959176 965118441
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0029.sdat for output
      ++ loading -setB datasets
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 652070327 966229592
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0030.sdat for output
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ loading -setA datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 653181478 967340743
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ opened file ./TT.vvOWXSeNXYV.0031.sdat for output
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ loading -setB datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 654292629 968451894
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0032.sdat for output
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 655403780 969563045
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0033.sdat for output
      ++ loading -setA datasets
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ loading -setB datasets
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 656514931 970674196
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ opened file ./TT.vvOWXSeNXYV.0034.sdat for output
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      ++ loading -setA datasets
      ++ 3dttest++: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Zhark++
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 657626082 971785347
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0035.sdat for output
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ 120704 voxels in -mask dataset
      ++ Covariates file: 2 columns, each with 37 rows
      ++ loading -setA datasets
    • Covariate column labels: Subject;Group
    • Found 1 numeric column: Group
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ option -setA :: processing as LONG form (label label dset label dset …)
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 658737233 972896498
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0036.sdat for output
      ++ loading -setA datasets
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ have 37 volumes corresponding to option ‘-setA’
      ++ option -setB :: processing as LONG form (label label dset label dset …)
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 659848384 974007649
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0037.sdat for output
      ++ loading -setA datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 662070686 976229951
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0039.sdat for output
      ++ loading -setA datasets
      ++ have 37 volumes corresponding to option ‘-setB’
      ++ random seeds are 660959535 975118800
      ++ 2-sample test: ‘-AminusB’ option is assumed
      ++ paired test: results will be rAAA - rBBB
      ++ loading covariates
      ++ Two samples: t-testing fixed covariates for similarity between groups
    • Group: mean of setA-setB=0 ; 2-sided p-value=1.0000
      ++ opened file ./TT.vvOWXSeNXYV.0038.sdat for output
      ++ loading -setA datasets
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ loading -setB datasets
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ loading -setB datasets
      ++ loading -setB datasets
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:*+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ loading -setB datasets
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ loading -setB datasets
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ loading -setB datasets
      ++ Memory usage now = 49,355,172 (49 million)
      ++ t-testing:0*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:1++ loading -setB datasets
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ loading -setB datasets
      2++ loading -setB datasets
      3*+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ loading -setB datasets
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      4*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ loading -setB datasets
      5++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:6*+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      ++ loading -setB datasets
      7++ loading -setB datasets
      89.0++ loading -setB datasets
      12*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      *+ WARNING: 3dttest++ -setA :: 1424 vectors are constant
    • in-mask blurring -setA datasets 3.00 mm
      3++ loading -setB datasets
      45++ loading -setB datasets
      6*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:78++ loading -setB datasets
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ loading -setB datasets
      9.*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ loading -setB datasets
      ++ loading -setB datasets
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      0++ loading -setB datasets
      1++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ loading -setB datasets
      2++ Memory usage now = 46,642,007 (47 million)
      3++ t-test randomsign:*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      4++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:56*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      7*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      89.*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      0++ loading -setB datasets
      1*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ loading -setB datasets
      2*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      34*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      5*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      67++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:8*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      9.*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      001++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:02++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ loading -setB datasets
      3++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:45*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      6++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:078++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:9.++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:!
    • skipped 26 voxels completely for having constant data
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ ---------- End of analyses – freeing workspaces ----------
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 19,452,988 (19 million)
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Output dataset /BIDS/derivatives/bold/TTest_ETAC_All_Yng_3mm_Vers_11_In-Out.B3.0.nii
      ++ Memory usage now = 46,642,007 (47 million)
    • paired test: results are rAAA - rBBB
      ++ t-test randomsign:++ ----- 3dttest++ says so long, farewell, and happy trails to you :slight_smile: -----
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:0++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:0*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      *+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      0*+ WARNING: 3dttest++ -setB :: 26 vectors are constant
    • in-mask blurring -setB datasets 3.00 mm
      ++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:000++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:++ Memory usage now = 46,642,007 (47 million)
      ++ t-test randomsign:000000000000000000… [removed numbers for space] 9.9.9.9.9.9.9.89.9.9.9.89.9.9.9.9.9.9.9.9.9.9.9.9.9.!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0003.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0003.sdat 9.!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0001.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0001.sdat!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0006.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0006.sdat!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0027.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0027.sdat!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0000.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0000.sdat
    • 3dttest++ ===== simulation jobs have finished (212.1 s elapsed)
    • 3dttest++ ===== starting 3dXClustSim : elapsed = 215.9 s
      ++ 3dXClustSim: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ Authored by: Lamont Cranston
      ++ Loading -insdat datasets
      *+ WARNING: only 9870 input volumes, less than minimum of 10000
      ++ Single FPR goal: 5.0%
      ++ minimum cluster size = 5 voxels
      ++ 3dXClustSim: Using 40 OpenMP threads
      ++ MultiThresh cluster FOM local threshold method = cdf 95.0%
      ++ STEP 1a: start 2-sided clustering with NN=3 !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0024.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0024.sdat9.!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0019.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0019.sdat 9.9.9.9.9.!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0018.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0018.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0031.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0031.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0004.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0004.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0034.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0034.sdat 9.9.9.!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0002.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0002.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0036.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0036.sdat 9.!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0005.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0005.sdat 9.!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0029.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0029.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0008.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0008.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0007.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0007.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0015.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0015.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0016.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0016.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0038.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0038.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0030.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0030.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0017.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0017.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0039.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0039.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0010.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0010.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0023.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0023.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0021.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0021.sdat 9.!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0009.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0009.sdat 9.!
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0020.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0020.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0014.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0014.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0026.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0026.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0013.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0013.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0033.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0033.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0035.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0035.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0025.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0025.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0011.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0011.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0012.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0012.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0032.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0032.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0022.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0022.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0037.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0037.sdat !
      ++ saving main effect t-stat MIN/MAX values in ./TT.vvOWXSeNXYV.0028.minmax.1D
      ++ output short-ized file ./TT.vvOWXSeNXYV.0028.sdat
    • STEP 1b: merge cluster lists
    • STEP 1d: compute global ETAC thresholds
      ++ STEP 1d.a: adjusting per-voxel FOM thresholds to reach FPR=5.00%
    •  #1: Testing global thresholds at 0.00594 ==> 59

    •      global FPR=1.61% at 19.4 s

    •  #2: Testing global thresholds at 0.0138432 ==> 137

    •      global FPR=3.30% at 27.8 s

    •  #3: Testing global thresholds at 0.023168 ==> 229

    •      global FPR=5.23% at 36.2 s
    • global ETAC thresholds written to globalETAC.mthresh.TT.vvOWXSeNXYV.TstB.ETAC.B3.0.5perc.niml
      ++ === 3dXClustSim ends: Elapsed time = 36.2 s
      ++ 3dttest++ ----- merging 1 blur cases to make 2-sided activation mask
      ++ 3dMultiThresh: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
      ++ -mthresh global parameters
    •  clustering NN=3  thresholding=2-sided  5 thresholds  1 hpows

    ++ MultiThresh cluster FOM local threshold method = cdf 95.0%
    ++ Output dataset ./TT.vvOWXSeNXYV.ETACtmask.global.B3.0.nii
    ++ Output dataset ./TT.vvOWXSeNXYV.ETACamask.global.B3.0.nii
    118443
    ++ WARNING: file /home/aarong/.afni.log is now 581165487 (581 million) bytes long!
    ++ processing 1 input datasets…
    ++ padding all datasets by 0 (for dilations)
    ++ frac 0 over 1 volumes gives min count 0
    ++ voxel limits: 0 clipped, 118443 survived, 427025 were zero
    ++ writing result TT.vvOWXSeNXYV.TstB.ETACmask.global.2sid.5perc.nii.gz…
    ++ Output dataset ./TT.vvOWXSeNXYV.TstB.ETACmask.global.2sid.5perc.nii.gz
    ++ 3dbucket: AFNI version=AFNI_19.0.18 (Feb 25 2019) [64-bit]
    ++ 3dttest++ ----- Cleaning up intermediate files:
    removed ‘TT.vvOWXSeNXYV.resid.nii’
    removed ‘TT.vvOWXSeNXYV.savedata.nii’
    removed ‘./TT.vvOWXSeNXYV.0000.sdat’
    removed ‘./TT.vvOWXSeNXYV.0001.sdat’
    [removed for space]
    removed ‘./TT.vvOWXSeNXYV.0038.sdat’
    removed ‘./TT.vvOWXSeNXYV.0039.sdat’

    • 3dttest++ =============== -ETAC work is finished :slight_smile: ===============
      ++ ----- 3dttest++ says so long, farewell, and happy trails to you :slight_smile: -----

Thanks in advance,
Aaron Gudmundson

2

Hi Aaron,

I am not a master of all things ETAC, but it looks like you got the only mthresh file that would be output, and they are in NIML format, not NIFTI.

There should be one such file per false positive rate and per blur level.

Does that seem reasonable?

  • rick
3

Hello,
Thank you for getting back to me.

Perhaps 3dmthresh is not where the problem lies then if the .niml files are the correct output. As I understood from Robert Cox’s slides, the final ETAC output should contain a NIFTI file that should be named along the lines of: {prefix}.TestA.ETAC.mthresh.B6.nii. We are not receiving this file. Also, the NIFTI files that we are receiving are not being renamed with the -prefix.

We appreciate the help!
Thank you,
Aaron Gudmundson

4

Hi Aaron,

Okay, so maybe TT.vvOWXSeNXYV.TstB.ETACmask.global.2sid.5perc.nii.gz is really the final output. But since its prefix is incorrect, I would not trust the contents.

I think 3dttest++ has some trouble when -prefix has a path in it. That is because it is effectively running a processing script, and maybe there are some intermediate commands that are handled differently.

For now, can you write the command so that -prefix does not have a directory in it? That should work and at least let you be sure of what the output files are. If you want to then report what seem to be specific differences with directories, that would be appreciated (though not necessary).

Thanks,

  • rick