Gang,

I have 3 Conditions and 14 subjects. Here's the command line I used

How many factors? 2

Availabe design types:

Type 1: Factorial (crossed) design AXB - both factors are fixed.

Type 2: Factorial (crossed) design AXB - both factors are random.

Type 3: Factorial (crossed) design AXB - factor A is fixed while B is random. If B is subject, it is
usually called 1-way design with A varying within subject. Notice: It is inappropriate to
run any constrasts including mean estimates and differences for factor B with this design type.

Choose design type (1, 2, 3, 4, 5): 3

Is the design balanced? (1 - Yes; 0 - No) 1

Label for No. 1 factor: Cond
How many levels does factor A (Cond) have? 3
Label for No. 1 level of factor A (Cond) is: Left
Label for No. 2 level of factor A (Cond) is: Center
Label for No. 3 level of factor A (Cond) is: Right

Label for No. 2 factor: subj
How many levels does factor B (subj) have? 14
Label for No. 1 level of factor B (subj) is: s1
...
Label for No. 14 level of factor B (subj) is: s14

Enter the sample size (number of observations) per cell: 1

Any covariate (concomitant variable)? (1 - Yes; 0 - No) 0

All input files are supposed to contain only one subbrik.

There should be totally 42 input files.
Correct? (1 - Yes; 0 - No) 1

Please provide input files.
(1) factor combination:
factor A (Cond) at level 1 (Left)
factor B (subj) at level 1 (s1)
at repeat 1
is: gz2_pc_30_decon_-1tr_tap+tlrc.BRIK
...
(42) factor combination:
factor A (Cond) at level 3 (Right)
factor B (subj) at level 14 (s14)
at repeat 1
is: gz17_pc_34_decon_-1tr_tap+tlrc.BRIK

Output file name (in bucket format): anova_L-C-R_tap

Any contrast test (1 - Yes, 0 - No)? 1

Now coding contrasts:

Each term in a contrast should have 2 character(s),
No. 1 character corresponds to the level of factor A (Cond),
No. 2 character corresponds to the level of factor B (subj),

Use 0 if a factor is collapsed.

If a factor level is smaller than 9, use its ordinal number;
If a factor level is bigger than 9, use a, b, c, ... (no capitals) for 10, 11, 12, ...

1st order contrasts have 1 factor(s) collapsed.

How many 1st-order contrasts? (0 if none) 3

Label for 1st order contrast No. 1 is: L-C
How many terms are involved? 2
Factor index for No. 1 term is (e.g., 10): 10
Corresponding coefficient (e.g., 1 or -1): 1
Factor index for No. 2 term is (e.g., 10): 20
Corresponding coefficient (e.g., 1 or -1): -1

Label for 1st order contrast No. 2 is: L-R
How many terms are involved? 2
Factor index for No. 1 term is (e.g., 10): 10
Corresponding coefficient (e.g., 1 or -1): 1
Factor index for No. 2 term is (e.g., 10): 30
Corresponding coefficient (e.g., 1 or -1): -1

Label for 1st order contrast No. 3 is: C-R
How many terms are involved? 2
Factor index for No. 1 term is (e.g., 10): 20
Corresponding coefficient (e.g., 1 or -1): 1
Factor index for No. 2 term is (e.g., 10): 30
Corresponding coefficient (e.g., 1 or -1): -1
Done with 2nd order contrast information.

2nd order contrasts have 0 factor(s) collapsed.

Notice: Contrasts for random factor are NOT feasible.

How many 2nd-order contrasts? (0 if none) 0
Done with 2nd order contrast information.

Total slices along Z axis: 60
Running analysis on slice:
#1... done in 6.475193 seconds
??? Subscripted assignment dimension mismatch.

Error in ==> cell2mat at 46
M(i,j) = C{i,j};

Error in ==> GroupAna at 1820
Info.BRICK_LABS = [Info.BRICK_LABS cell2mat(tnames_new(i)) '~']; % Label for intensity