Sorry, we are not supporting qdec anymore. You will need to use the command-line stream
On 3/23/2022 8:02 AM, David wrote:
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Hello FreeSurfer Developers,
I have a problem. Can you help me
freesurfer version : 6.0.0
Load qdec when I run qdec.table.dat, the data is loaded correctly, but when I design, I choose discrete and continuous factors for analysis The error log is as follows ： ———————————————— Input table: /media/root/Backup_Plus2/new/RECON/qdec/qdec5.table.dat Subj#, SubjID, Data... 1 bd1 d Male 15.000000 8.000000 2 bd2 d Female 19.000000 13.000000 3 bd3 d Male 25.000000 9.000000 4 bd4 d Male 17.000000 12.000000 5 bd5 d Male 16.000000 10.000000 6 bd6 m Female 22.000000 12.000000 7 bd7 d Male 17.000000 11.000000 8 bd8 d Female 19.000000 13.000000 9 bd9 m Female 26.000000 7.000000 10 bd10 m Male 53.000000 15.000000 11 bd11 m Female 56.000000 4.000000 12 bd12 d Female 21.000000 14.000000 13 bd13 m Female 19.000000 12.000000 14 bd14 m Female 32.000000 15.000000 15 bd15 d Male 21.000000 9.000000 16 bd16 d Male 16.000000 10.000000 17 bd17 d Male 15.000000 11.000000 18 bd18 d Female 32.000000 10.000000 19 bd19 d Female 20.000000 15.000000 20 bd20 d Female 17.000000 11.000000 21 bd22 m Male 22.000000 11.000000 22 bd23 m Female 28.000000 6.000000 23 bd24 d Male 26.000000 11.000000 24 bd25 m Female 24.000000 9.000000 25 bd26 m Female 30.000000 6.000000 26 bd27 m Female 20.000000 12.000000 27 bd28 d Female 28.000000 16.000000 28 bd29 m Female 18.000000 12.000000 29 bd30 d Male 21.000000 15.000000 30 bd31 d Female 30.000000 16.000000 31 bd32 d Male 18.000000 11.000000 32 bd33 d Female 16.000000 10.000000 33 bd34 d Male 21.000000 11.000000 34 bd35 d Female 15.000000 10.000000 35 bd36 d Female 16.000000 10.000000 36 bd37 d Male 19.000000 14.000000 37 bd39 d Male 16.000000 10.000000 38 bd40 m Female 20.000000 14.000000 39 bd41 m Female 21.000000 15.000000 40 bd42 d Male 23.000000 9.000000 41 bd43 m Male 27.000000 9.000000 42 bd44 d Female 15.000000 8.000000 43 bd45 m Male 19.000000 9.000000 44 bd46 d Female 16.000000 11.000000 45 bd47 m Female 23.000000 15.000000 46 bd48 m Male 18.000000 13.000000 47 bd49 d Female 22.000000 15.000000 48 bd50 d Female 17.000000 11.000000 49 bd51 d Male 17.000000 10.000000 50 bd52 d Male 27.000000 15.000000 51 bd53 m Male 16.000000 9.000000 52 bd54 d Male 18.000000 12.000000 53 bd55 d Female 18.000000 11.000000 54 bd56 m Female 16.000000 10.000000 55 bd57 d Male 16.000000 9.000000 56 bd58 m Male 22.000000 9.000000 57 bd59 m Male 16.000000 8.000000 58 bd60 d Male 16.000000 9.000000 59 bd61 m Female 18.000000 10.000000 60 bd62 d Female 15.000000 9.000000 61 hc1 h Male 52.000000 7.000000 62 hc2 h Female 24.000000 10.000000 63 hc3 h Male 45.000000 7.000000 64 hc4 h Female 18.000000 13.000000 65 hc5 h Female 19.000000 10.000000 66 hc6 h Female 17.000000 12.000000 67 hc7 h Female 19.000000 7.000000 68 hc8 h Male 48.000000 5.000000 69 hc9 h Female 53.000000 6.000000 70 hc10 h Female 52.000000 15.000000 71 hc11 h Female 19.000000 12.000000 72 hc12 h Female 18.000000 12.000000 73 hc13 h Female 20.000000 12.000000 74 hc14 h Female 18.000000 12.000000 75 hc15 h Female 19.000000 13.000000 76 hc16 h Female 18.000000 11.000000 77 hc17 h Female 19.000000 12.000000 78 hc18 h Female 19.000000 12.000000 79 hc19 h Female 19.000000 12.000000 80 hc20 h Female 19.000000 12.000000 81 hc21 h Female 18.000000 12.000000 82 hc22 h Female 18.000000 12.000000 83 hc23 h Female 18.000000 11.000000 84 hc24 h Female 18.000000 12.000000 85 hc25 h Female 18.000000 12.000000 86 hc26 h Female 18.000000 11.000000 87 hc27 h Female 18.000000 12.000000 88 hc28 h Female 18.000000 12.000000 89 hc29 h Female 18.000000 11.000000 90 hc30 h Male 20.000000 12.000000 91 hc31 h Female 29.000000 17.000000 92 hc32 h Female 16.000000 10.000000 93 hc33 h Female 17.000000 10.000000 94 hc34 h Female 26.000000 14.000000 95 hc35 h Female 24.000000 17.000000 96 hc36 h Female 22.000000 17.000000 97 hc37 h Male 25.000000 17.000000 98 hc38 h Male 24.000000 17.000000 99 hc39 h Male 25.000000 17.000000 1 groups discrete 3 1 d 2 m 3 h 2 gender discrete 2 1 Male 2 Female 3 age continuous 0 4 edu continuous 0 Continuous Factors: Mean: StdDev: ------------------- ----- ------- age 22.293 9.015 edu 11.374 2.827
Number of subjects: 99 Number of factors: 4 (2 discrete, 2 continuous) Number of classes: 6 Number of regressors: 18 ============================================================ Data table loading completed successfully. SUBJECTS_DIR is '/media/root/Backup_Plus2/new/RECON' ERROR: QdecGlmDesign::GenerateContrasts: factor 1 must have 2 levels ninputs = 99 Checking inputs nframestot = 99 Allocing output Done allocing nframes = 99 Writing to /media/root/Backup_Plus2/new/RECON/qdec/Untitled/y.mgh gdfRead(): reading /media/root/Backup_Plus2/new/RECON/qdec/Untitled/qdec.fsgd INFO: DeMeanFlag keyword not found, DeMeaning will NOT be done. Continuous Variable Means (all subjects) 0 age 22.2929 8.96937 1 edu 11.3737 2.81262 Class Means of each Continuous Variable 1 groupsd-genderMale 19.0000 10.8000 2 groupsm-genderMale 24.1250 10.3750 3 groupsh-genderMale 34.1429 11.7143 4 groupsd-genderFemale 19.7647 11.9412 5 groupsm-genderFemale 24.8667 10.6000 6 groupsh-genderFemale 21.4375 11.9688 INFO: gd2mtx_method is dods Reading source surface /media/root/Backup_Plus2/new/RECON/fsaverage/surf/lh.white ERROR: no contrasts specified.
Error in Analyze: command failed: mri_glmfit --y /media/root/Backup_Plus2/new/RECON/qdec/Untitled/y.mgh --fsgd /media/root/Backup_Plus2/new/RECON/qdec/Untitled/qdec.fsgd dods --glmdir /media/root/Backup_Plus2/new/RECON/qdec/Untitled --surf fsaverage lh --label /media/root/Backup_Plus2/new/RECON/fsaverage/label/lh.aparc.label —————————————————————————————————————————— I checked the description of .levels on the official website. I can use many categorical factors, but the error message is ERROR: QdecGlmDesign::GenerateContrasts: factor 1 must have 2 levels https://freesurfer.net/fswiki/FsTutorial/QdecLevels Can I use many categorical factors If I can, how can I solve this mistake
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