External Email - Use Caution
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://secure-web.cisco.com/1kUfsJNAvGVt8tBXKDcJYuIUu4h1wAq2TNCeY2z4M_AAEROQCyiNF8erx0p0_xUkY9RwXFNHevIxE9_V9VlM0YmkCVKQAvDiy7GdEMMXML-sxGZb09rPmfO6RwqpMl7okNXAH7301jABIpvluGdIzYdnd81AWb4ruMbw5uutO9Dqx_IS4u8YsAc1M3Q9J9eoPsajUtOoaD7lgU_dfMiFKyuFoaAEOgIhaNAiGgkjQj5s9TfYBR7UZKhNcT4MX25rxiLJ7IYqqOyLCk6BIiXLMy0Y3b_WgaKHSKDI7JivKepLvzkl6356XOHqK8TCuaFd8AEdb-62FHO0R--NTC7pmCA/https%3A%2F%2Ffreesurfer.net%2Ffswiki%2FFsTutorial%2FQdecLevels
Can I use many categorical factors
If I can, how can I solve this mistake
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