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Dear AFNI users-

We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:

https://discuss.afni.nimh.nih.gov

Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.

The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.

Sincerely, AFNI HQ

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daisyburr
August 23, 2017 01:36PM
Hi Rick,

I realized my glt setup my not be right and made some edits. We are trying to calculate a sex by condition intersection, with three levels for condition. The examples on the help page only showed interactions that had two levels. Should we be using a glt instead of a glt? How would we specify the sex by condition interaction here?

Also, fyi, here is the current error and script:
Error:
[dburr@drzeuss GROUPANALYSIS] > tcsh 3dMVM_GenderxCondition
Error in code[[n]] : subscript out of bounds
Calls: process.MVM.opts -> gl_Constr -> glfConstr -> which
Execution halted


Script:
3dMVM -prefix 3dMVM_SexXCondition -jobs 1 \
-bsVars Sex \
-wsVars Condition \
-num_glt 1 \
-gltLabel 1 SexbyConditionInteraction -gltcode 1 'Sex : 1*Male -1*Female Condition :' \
-dataTable \
Subj Group Condition InputFile \
1 Female Empathy stats.A000442.lab+tlrc'[empathy#0_Coef]' \
1 Female Anxiety stats.A000442.lab+tlrc'[anxiety#0_Coef]' \
1 Female Dominance stats.A000442.lab+tlrc'[dominance#0_Coef]' \
2 Male Empathy stats.A000443.lab+tlrc'[empathy#0_Coef]' \
2 Male Anxiety stats.A000443.lab+tlrc'[anxiety#0_Coef]' \
2 Male Dominace stats.A000443.lab+tlrc'[dominance#0_Coef]' \
3 Female Empathy stats.A000452.lab+tlrc'[empathy#0_Coef]' \
3 Female Anxiety stats.A000452.lab+tlrc'[anxiety#0_Coef]' \
3 Female Dominace stats.A000452.lab+tlrc'[dominance#0_Coef]' \
4 Male Empathy stats.A000453.lab+tlrc'[empathy#0_Coef]' \
4 Male Anxiety stats.A000453.lab+tlrc'[anxiety#0_Coef]' \
4 Male Dominance stats.A000453.lab+tlrc'[dominance#0_Coef]' \
5 Male Empathy stats.A000454.lab+tlrc'[empathy#0_Coef]' \
5 Male Anxiety stats.A000454.lab+tlrc'[anxiety#0_Coef]' \
5 Male Dominace stats.A000454.lab+tlrc'[dominance#0_Coef]' \
6 Female Empathy stats.A000455.lab+tlrc'[empathy#0_Coef]' \
6 Female Anxiety stats.A000455.lab+tlrc'[anxiety#0_Coef]' \
6 Female Dominance stats.A000455.lab+tlrc'[dominance#0_Coef]' \
7 Female Empathy stats.A000479.lab+tlrc'[empathy#0_Coef]' \
7 Female Anxiety stats.A000479.lab+tlrc'[anxiety#0_Coef]' \
7 Female Dominance stats.A000479.lab+tlrc'[dominance#0_Coef]' \
8 Male Empathy stats.A000484.lab+tlrc'[empathy#0_Coef]' \
8 Male Anxiety stats.A000484.lab+tlrc'[anxiety#0_Coef]' \
8 Male Dominance stats.A000484.lab+tlrc'[dominance#0_Coef]' \
9 Female Empathy stats.A000485.lab+tlrc'[empathy#0_Coef]' \
9 Female Anxiety stats.A000485.lab+tlrc'[anxiety#0_Coef]' \
9 Female Dominance stats.A000485.lab+tlrc'[dominance#0_Coef]' \
10 Male Empathy stats.A000487.lab+tlrc'[empathy#0_Coef]' \
10 Male Anxiety stats.A000487.lab+tlrc'[anxiety#0_Coef]' \
10 Male Dominance stats.A000487.lab+tlrc'[dominance#0_Coef]' \
11 Male Empathy stats.A000488.lab+tlrc'[empathy#0_Coef]' \
11 Male Anxiety stats.A000488.lab+tlrc'[anxiety#0_Coef]' \
11 Male Dominance stats.A000488.lab+tlrc'[dominance#0_Coef]' \
12 Female Empathy stats.A000493.lab+tlrc'[empathy#0_Coef]' \
12 Female Anxiety stats.A000493.lab+tlrc'[anxiety#0_Coef]' \
12 Female Dominance stats.A000493.lab+tlrc'[dominance#0_Coef]' \
13 Female Empathy stats.A000498.lab+tlrc'[empathy#0_Coef]' \
13 Female Anxiety stats.A000498.lab+tlrc'[anxiety#0_Coef]' \
13 Female Dominance stats.A000498.lab+tlrc'[dominance#0_Coef]' \
14 Female Empathy stats.A000500.lab+tlrc'[empathy#0_Coef]' \
14 Female Anxiety stats.A000500.lab+tlrc'[anxiety#0_Coef]' \
14 Female Dominance stats.A000500.lab+tlrc'[dominance#0_Coef]' \
15 Male Empathy stats.A000522.lab+tlrc'[empathy#0_Coef]' \
15 Male Anxiety stats.A000522.lab+tlrc'[anxiety#0_Coef]' \
15 Male Dominance stats.A000522.lab+tlrc'[dominance#0_Coef]' \
16 Female Empathy stats.A000526.lab+tlrc'[empathy#0_Coef]' \
16 Female Anxiety stats.A000526.lab+tlrc'[anxiety#0_Coef]' \
16 Female Dominance stats.A000526.lab+tlrc'[dominance#0_Coef]' \
17 Female Empathy stats.A000580.lab+tlrc'[empathy#0_Coef]' \
17 Female Anxiety stats.A000580.lab+tlrc'[anxiety#0_Coef]' \
17 Female Dominance stats.A000580.lab+tlrc'[dominance#0_Coef]' \
18 Male Empathy stats.A000581.lab+tlrc'[empathy#0_Coef]' \
18 Male Anxiety stats.A000581.lab+tlrc'[anxiety#0_Coef]' \
18 Male Dominance stats.A000581.lab+tlrc'[dominance#0_Coef]' \
19 Male Empathy stats.A000582.lab+tlrc'[empathy#0_Coef]' \
19 Male Anxiety stats.A000582.lab+tlrc'[anxiety#0_Coef]' \
19 Male Dominance stats.A000582.lab+tlrc'[dominance#0_Coef]' \
20 Female Empathy stats.A000583.lab+tlrc'[empathy#0_Coef]' \
20 Female Anxiety stats.A000583.lab+tlrc'[anxiety#0_Coef]' \
20 Female Dominance stats.A000583.lab+tlrc'[dominance#0_Coef]' \
21 Male Empathy stats.A000584.lab+tlrc'[empathy#0_Coef]' \
21 Male Anxiety stats.A000584.lab+tlrc'[anxiety#0_Coef]' \
21 Male Dominance stats.A000584.lab+tlrc'[dominance#0_Coef]' \
22 Female Empathy stats.A000585.lab+tlrc'[empathy#0_Coef]' \
22 Female Anxiety stats.A000585.lab+tlrc'[anxiety#0_Coef]' \
22 Female Dominance stats.A000585.lab+tlrc'[dominance#0_Coef]' \
23 Male Empathy stats.A000587.lab+tlrc'[empathy#0_Coef]' \
23 Male Anxiety stats.A000587.lab+tlrc'[anxiety#0_Coef]' \
23 Male Dominance stats.A000587.lab+tlrc'[dominance#0_Coef]' \
24 Female Empathy stats.A000589.lab+tlrc'[empathy#0_Coef]' \
24 Female Anxiety stats.A000589.lab+tlrc'[anxiety#0_Coef]' \
24 Female Dominance stats.A000589.lab+tlrc'[dominance#0_Coef]' \
25 Female Empathy stats.A000598.lab+tlrc'[empathy#0_Coef]' \
25 Female Anxiety stats.A000598.lab+tlrc'[anxiety#0_Coef]' \
25 Female Dominance stats.A000598.lab+tlrc'[dominance#0_Coef]' \
26 Female Empathy stats.A000599.lab+tlrc'[empathy#0_Coef]' \
26 Female Anxiety stats.A000599.lab+tlrc'[anxiety#0_Coef]' \
26 Female Dominance stats.A000599.lab+tlrc'[dominance#0_Coef]' \
27 Female Empathy stats.A000600.lab+tlrc'[empathy#0_Coef]' \
27 Female Anxiety stats.A000600.lab+tlrc'[anxiety#0_Coef]' \
27 Female Dominance stats.A000600.lab+tlrc'[dominance#0_Coef]' \
28 Male Empathy stats.A000601.lab+tlrc'[empathy#0_Coef]' \
28 Male Anxiety stats.A000601.lab+tlrc'[anxiety#0_Coef]' \
28 Male Dominance stats.A000601.lab+tlrc'[dominance#0_Coef]' \
29 Female Empathy stats.A000602.lab+tlrc'[empathy#0_Coef]' \
29 Female Anxiety stats.A000602.lab+tlrc'[anxiety#0_Coef]' \
29 Female Dominance stats.A000602.lab+tlrc'[dominance#0_Coef]' \
30 Female Empathy stats.A000605.lab+tlrc'[empathy#0_Coef]' \
30 Female Anxiety stats.A000605.lab+tlrc'[anxiety#0_Coef]' \
30 Female Dominance stats.A000605.lab+tlrc'[dominance#0_Coef]' \
31 Female Empathy stats.A000606.lab+tlrc'[empathy#0_Coef]' \
31 Female Anxiety stats.A000606.lab+tlrc'[anxiety#0_Coef]' \
31 Female Dominance stats.A000606.lab+tlrc'[dominance#0_Coef]' \
32 Female Empathy stats.A000613.lab+tlrc'[empathy#0_Coef]' \
32 Female Anxiety stats.A000613.lab+tlrc'[anxiety#0_Coef]' \
32 Female Dominance stats.A000613.lab+tlrc'[dominance#0_Coef]' \
33 Female Empathy stats.A000619.lab+tlrc'[empathy#0_Coef]' \
33 Female Anxiety stats.A000619.lab+tlrc'[anxiety#0_Coef]' \
33 Female Dominance stats.A000619.lab+tlrc'[dominance#0_Coef]' \
34 Male Empathy stats.A000651.lab+tlrc'[empathy#0_Coef]' \
34 Male Anxiety stats.A000651.lab+tlrc'[anxiety#0_Coef]' \
34 Male Dominance stats.A000651.lab+tlrc'[dominance#0_Coef]' \
35 Male Empathy stats.A000661.lab+tlrc'[empathy#0_Coef]' \
35 Male Anxiety stats.A000661.lab+tlrc'[anxiety#0_Coef]' \
35 Male Dominance stats.A000661.lab+tlrc'[dominance#0_Coef]' \
36 Male Empathy stats.A000665.lab+tlrc'[empathy#0_Coef]' \
36 Male Anxiety stats.A000665.lab+tlrc'[anxiety#0_Coef]' \
36 Male Dominance stats.A000665.lab+tlrc'[dominance#0_Coef]' \
37 Male Empathy stats.A000683.lab+tlrc'[empathy#0_Coef]' \
37 Male Anxiety stats.A000683.lab+tlrc'[anxiety#0_Coef]' \
37 Male Dominance stats.A000683.lab+tlrc'[dominance#0_Coef]' \
38 Female Empathy stats.A000686.lab+tlrc'[empathy#0_Coef]' \
38 Female Anxiety stats.A000686.lab+tlrc'[anxiety#0_Coef]' \
38 Female Dominance stats.A000686.lab+tlrc'[dominance#0_Coef]' \
39 Male Empathy stats.A000688.lab+tlrc'[empathy#0_Coef]' \
39 Male Anxiety stats.A000688.lab+tlrc'[anxiety#0_Coef]' \
39 Male Dominance stats.A000688.lab+tlrc'[dominance#0_Coef]' \
40 Male Empathy stats.A000691.lab+tlrc'[empathy#0_Coef]' \
40 Male Anxiety stats.A000691.lab+tlrc'[anxiety#0_Coef]' \
40 Male Dominance stats.A000691.lab+tlrc'[dominance#0_Coef]' \
41 Male Empathy stats.A000698.lab+tlrc'[empathy#0_Coef]' \
41 Male Anxiety stats.A000698.lab+tlrc'[anxiety#0_Coef]' \
41 Male Dominance stats.A000698.lab+tlrc'[dominance#0_Coef]'
Reply Quote
RSS
Subject Author Posted

Uneven sample size error in 3dANOVA3

daisyburr August 22, 2017 05:23PM

Re: Uneven sample size error in 3dANOVA3

Peter Molfese August 23, 2017 08:52AM

Re: Uneven sample size error in 3dANOVA3

daisyburr August 23, 2017 11:50AM

Re: Uneven sample size error in 3dANOVA3

rick reynolds August 23, 2017 01:19PM

Re: Uneven sample size error in 3dANOVA3

daisyburr August 23, 2017 01:36PM

Re: Uneven sample size error in 3dANOVA3

gang August 24, 2017 10:38AM