Hello,

We have a dataset with 3 factors: 2 within subject factors (Pain, Faces), 1 between subjects factor (Group),

A 2 x 3 x 2 design.

Factors: Pain (Levels: pain, nopain)
Faces (Levels: neutral, positive, negative)
Group (Levels: patients, controls)

Here is our setup

3dLME -prefix result-lme_group -jobs 10 \
-mask myMask+tlrc \
-model "pain*faces + group" \
-ranEff '~1' \
-SS_type 3 \
-num_glt 6 \
-gltLabel 1 'pos-neu' -gltCode 1 'faces : 1*pos -1*neu' \
-gltLabel 2 'neg' -gltCode 2 'faces : 1*neg ' \
-gltLabel 3 'pos+nue-neg' -gltCode 3 'faces : 1*pos +1*neu -1*neg' \
-gltLabel 4 'pat_pos-neu' -gltCode 4 'faces : 1*pos -1*neu group : 1*pat' \
-gltLabel 5 'pat_neg-neu' -gltCode 5 'faces : 1*neg -1*neu group : 1*pat' \
-gltLabel 6 'pat_pos-neg' -gltCode 6 'faces : 1*pos -1*neg group : 1*pat' \
-dataTable \
Subj pain faces group InputFile \
s1 pain pos ctr s1+tlrc'[pain-pos#0_Coef]' \
s1 nopain neg ctr s1+tlrc'[nopain-neg#0_Coef]' \
s1 pain neu ctr s1+tlrc'[pain-neu#0_Coef]' \
...
s21 pain pos pat s21+tlrc'[pain-pos#0_Coef]' \
s21 nopain neg pat s21+tlrc'[pain-neg#0_Coef]' \


1. Does our setup look correct for a 3way design, 2 within and 1 between subjects factor?

2. Using 3dLME, does one just enter the available datasets and 3dLME recognizes what data points are missing? Or do you we have to code it a certain way (adding NA or ".")

Thanks.




Michael