Hi Gang,

I have a question about running 3dLME. I would like to use 3dLME vs. 3dANOVA because I have a covariate (potentially a few, but I'm just trying to get familiar with the program for now) and unequal sizes. Specifically, I have one between-group, fixed factor (status: control or patient) and one within group factor, also with 2 levels (taste: caf or suc). For now, I am using age as a covariate.

First, is the model specified correctly below with the -model command? I want to examine main effects of patient status, taste, and the interaction after removing any effect of age. Also, I was able to get the program to run, but my output (aside from the glt simple effects I indicated) only has F values/subricks for the main effects and interactions. With 3dANOVA/3dttest++/etc., there is generally a second subbrick following the F subbrick that I can use to threshold and find significant clusters in the gui...Do I need to specify this in 3dLME using an option?

Thank you so much in advance for your help!

3dLME -prefix ANCOVA_28S -jobs 4 \
-model "taste*status+age" \
-qVars "age" \
-qVarCenters "45" \
-ranEff '~1' \
-SS_type 3 \
-num_glt 2 \
-gltLabel 1 'pat_eff_suc' -gltCode 1 'status : 1*con -1*pat taste : 1*suc' \
-gltLabel 2 'pat_eff_caf' -gltCode 2 'status : 1*con -1*pat taste : 1*caf' \
-dataTable \
Subj taste age status InputFile \
1 suc 25 con 'S1+tlrc[26]' \
2 suc 45 pat 'S2t+tlrc[26]' \
…
1 caf 25 con 'S1t+tlrc[18]' \
2 caf 45 pat 'S2+tlrc[18]' \