Uneven sample size error in 3dANOVA3

AFNI Message Board
1

I am running a type 4 3dANOVA3 (3 conditions, fixed effect; 2 genders, fixed effect; and 41 subjects, random effect) and I am getting the error:
** FATAL ERROR: Program 3dANOVA3: must have equal sample sizes for 3dANOVA3
I have 22 females (coded as 1) and 19 males (coded as 2). But I don’t think that should be a problem. Am I doing something wrong?
See below:
#ANOVA script for group analysis by gender for labeled results with blur (not MVPA)
#5 subjects thrown out for noise A000441 A000499 A000590 A000588 A000635; 1 subjet thrown out for missing data A000456
#alevels 3 = 3 conditions (fixed/type4); b levels 2 = 2genders(fixed/type4);c levels 41 = 41 subjects a(random/type4) type 4 = a and b are fixed #effects and c is random effect
#created on 8/21/19

3dANOVA3
-type 4
-alevels 3
-blevels 2
-clevels 41

-dset 1 1 1 stats.A000442.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 1 stats.A000442.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 1 stats.A000442.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 2 stats.A000443.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 2 stats.A000443.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 2 stats.A000443.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 3 stats.A000452.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 3 stats.A000452.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 3 stats.A000452.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 4 stats.A000453.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 4 stats.A000453.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 4 stats.A000453.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 5 stats.A000454.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 5 stats.A000454.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 5 stats.A000454.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 6 stats.A000455.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 6 stats.A000455.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 6 stats.A000455.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 7 stats.A000479.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 7 stats.A000479.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 7 stats.A000479.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 8 stats.A000484.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 8 stats.A000484.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 8 stats.A000484.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 9 stats.A000485.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 9 stats.A000485.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 9 stats.A000485.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 10 stats.A000487.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 10 stats.A000487.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 10 stats.A000487.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 11 stats.A000488.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 11 stats.A000488.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 11 stats.A000488.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 12 stats.A000493.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 12 stats.A000493.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 12 stats.A000493.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 13 stats.A000498.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 13 stats.A000498.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 13 stats.A000498.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 14 stats.A000500.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 14 stats.A000500.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 14 stats.A000500.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 15 stats.A000522.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 15 stats.A000522.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 15 stats.A000522.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 16 stats.A000526.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 16 stats.A000526.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 16 stats.A000526.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 17 stats.A000580.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 17 stats.A000580.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 17 stats.A000580.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 18 stats.A000581.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 18 stats.A000581.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 18 stats.A000581.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 19 stats.A000582.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 19 stats.A000582.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 19 stats.A000582.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 20 stats.A000583.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 20 stats.A000583.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 20 stats.A000583.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 21 stats.A000584.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 21 stats.A000584.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 21 stats.A000584.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 22 stats.A000585.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 22 stats.A000585.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 22 stats.A000585.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 23 stats.A000587.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 23 stats.A000587.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 23 stats.A000587.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 24 stats.A000589.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 24 stats.A000589.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 24 stats.A000589.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 25 stats.A000598.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 25 stats.A000598.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 25 stats.A000598.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 26 stats.A000599.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 26 stats.A000599.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 26 stats.A000599.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 27 stats.A000600.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 27 stats.A000600.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 27 stats.A000600.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 28 stats.A000601.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 28 stats.A000601.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 28 stats.A000601.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 29 stats.A000602.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 29 stats.A000602.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 29 stats.A000602.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 30 stats.A000605.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 30 stats.A000605.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 30 stats.A000605.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 31 stats.A000606.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 31 stats.A000606.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 31 stats.A000606.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 32 stats.A000613.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 32 stats.A000613.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 32 stats.A000613.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 33 stats.A000619.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 33 stats.A000619.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 33 stats.A000619.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 34 stats.A000651.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 34 stats.A000651.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 34 stats.A000651.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 35 stats.A000661.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 35 stats.A000661.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 35 stats.A000661.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 36 stats.A000665.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 36 stats.A000665.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 36 stats.A000665.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 37 stats.A000683.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 37 stats.A000683.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 37 stats.A000683.lab+tlrc’[dominance#0_Coef]’
-dset 1 1 38 stats.A000686.lab+tlrc’[empathy#0_Coef]’
-dset 2 1 38 stats.A000686.lab+tlrc’[anxiety#0_Coef]’
-dset 3 1 38 stats.A000686.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 39 stats.A000688.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 39 stats.A000688.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 39 stats.A000688.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 40 stats.A000691.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 40 stats.A000691.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 40 stats.A000691.lab+tlrc’[dominance#0_Coef]’
-dset 1 2 41 stats.A000698.lab+tlrc’[empathy#0_Coef]’
-dset 2 2 41 stats.A000698.lab+tlrc’[anxiety#0_Coef]’
-dset 3 2 41 stats.A000698.lab+tlrc’[dominance#0_Coef]’

-fa main_effect

-amean 1 empathy
-amean 2 anxiety
-amean 3 dominance
\

-acontr +2 -1 -1	empathy_vs_all				\
-acontr -1 +2 -1	anxiety_vs_all				\
-acontr -1 -1 +2	dominance_vs_all			\
-acontr 1 1 1		AllvsBase				\
\
\
\
-bucket ANOVA_3x2_gender
2

Hello,

3dANOVA3 can only handle fully balanced designs. You should try using 3dMVM .

-Pete

3

Thanks!

I tried that (and also FYI I am new to this and have never used 3dMVM before) and get this error “Unmatched '.”

Here is the script:

3dMVM -prefix SexXCondition -jobs 1
-bsVars Sex
-wsVars Condition
-num_glt 6
-gltLabel 1 MalevsEmpathy -gltcode 1 ‘Sex: 1Male -1Female condition: 1Empathy’
-gltLabel 2 MalevsAnxiety -gltcode 2 'Sex: 1Male -1Female condition: 1Anxiety’
-gltLabel 3 MalevsDominance -gltcode 3 ‘Sex: 1Male -1Female condition: 1Dominance’
-gltLabel 4 FemalevsEmpathy -gltcode 4 'Sex: 1Female -1Male condition: 1Empathy’
-gltLabel 5 FemalevsAnxiety -gltcode 5 ‘Sex: 1Female -1Male condition: 1Anxiety
-gltLabel 6 FemalevaDominance -gltcode 6 'Sex: 1Female -1Male condition: 1Dominance’ \

-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]'		\
4

At a glance, the -gltLabel 5 line seems to be missing a trailing
quote. Maybe there are other places though.

  • rick
5

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 : 1Male -1Female 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]’

6

The following line is incorrect:

-gltLabel 1 SexbyConditionInteraction -gltcode 1 ‘Sex : 1Male -1Female Condition :’ \

What exactly are you trying to test?