Sure.
Loading required package: afex
Loading required package: coin
Loading required package: survival
Loading required package: splines
Loading required package: car
Loading required package: MASS
Loading required package: nnet
Loading required package: lme4
Loading required package: Matrix
Loading required package: lattice

Attaching package: \u2018lme4\u2019

The following object(s) are masked from \u2018package:stats\u2019:

AIC, BIC

Loading required package: pbkrtest
Loading required package: parallel
Loading required package: reshape2
Loading required package: stringr
************
Welcome to afex created by Henrik Singmann. Important notes:

Setting contrasts to effects coding: options(contrasts=c('contr.sum', 'contr.poly'))
This affects all functions using contrasts (e.g., lmer, lm, aov, ...).
To reset default settings run: options(contrasts=c('contr.treatment', 'contr.poly')) (all afex functions should be unaffected by this)

afex loads the required packages (e.g., lme4, coin, car, pbkrtest) in an order that does not lead to problems.
Loading any of the packages (specifically lme4) beforehand usually leads to problems.
Loading nlme in addition to afex (before or after loading it), also leads to problems.
************
Loading required package: phia

++++++++++++++++++++++++++++++++++++++++++++++++++++
***** Summary information of data structure *****
62 subjects : hc008 hc011 hc012 hc019 hc022 hc023 hc030 hc034 hc046 hc053 hc055 hc056 hc067 hc068 hc070 hc071 hc072 hc073 hc074 hc075 hc077 hc078 hc081 hc082 hc086 tbi001 tbi002 tbi006 tbi007 tbi010 tbi013 tbi016 tbi018 tbi020 tbi021 tbi024 tbi025 tbi026 tbi027 tbi028 tbi029 tbi032 tbi038 tbi040 tbi042 tbi044 tbi045 tbi047 tbi049 tbi051 tbi052 tbi058 tbi060 tbi061 tbi062 tbi063 tbi064 tbi065 tbi069 tbi076 tbi079 tbi085
186 response values
2 levels for factor group : hc tbi
3 levels for factor trialtype : congruent incongruent neutral
2 levels for factor apathy : high low
3 post hoc tests

Tabulation of subjects against all categorical variables
~~~~~~~~~~~~~~
Subj vs group:

hc tbi
hc008 3 0
hc011 3 0
hc012 3 0
hc019 3 0
hc022 3 0
hc023 3 0
hc030 3 0
hc034 3 0
hc046 3 0
hc053 3 0
hc055 3 0
hc056 3 0
hc067 3 0
hc068 3 0
hc070 3 0
hc071 3 0
hc072 3 0
hc073 3 0
hc074 3 0
hc075 3 0
hc077 3 0
hc078 3 0
hc081 3 0
hc082 3 0
hc086 3 0
tbi001 0 3
tbi002 0 3
tbi006 0 3
tbi007 0 3
tbi010 0 3
tbi013 0 3
tbi016 0 3
tbi018 0 3
tbi020 0 3
tbi021 0 3
tbi024 0 3
tbi025 0 3
tbi026 0 3
tbi027 0 3
tbi028 0 3
tbi029 0 3
tbi032 0 3
tbi038 0 3
tbi040 0 3
tbi042 0 3
tbi044 0 3
tbi045 0 3
tbi047 0 3
tbi049 0 3
tbi051 0 3
tbi052 0 3
tbi058 0 3
tbi060 0 3
tbi061 0 3
tbi062 0 3
tbi063 0 3
tbi064 0 3
tbi065 0 3
tbi069 0 3
tbi076 0 3
tbi079 0 3
tbi085 0 3

~~~~~~~~~~~~~~
Subj vs trialtype:

congruent incongruent neutral
hc008 1 1 1
hc011 1 1 1
hc012 1 1 1
hc019 1 1 1
hc022 1 1 1
hc023 1 1 1
hc030 1 1 1
hc034 1 1 1
hc046 1 1 1
hc053 1 1 1
hc055 1 1 1
hc056 1 1 1
hc067 1 1 1
hc068 1 1 1
hc070 1 1 1
hc071 1 1 1
hc072 1 1 1
hc073 1 1 1
hc074 1 1 1
hc075 1 1 1
hc077 1 1 1
hc078 1 1 1
hc081 1 1 1
hc082 1 1 1
hc086 1 1 1
tbi001 1 1 1
tbi002 1 1 1
tbi006 1 1 1
tbi007 1 1 1
tbi010 1 1 1
tbi013 1 1 1
tbi016 1 1 1
tbi018 1 1 1
tbi020 1 1 1
tbi021 1 1 1
tbi024 1 1 1
tbi025 1 1 1
tbi026 1 1 1
tbi027 1 1 1
tbi028 1 1 1
tbi029 1 1 1
tbi032 1 1 1
tbi038 1 1 1
tbi040 1 1 1
tbi042 1 1 1
tbi044 1 1 1
tbi045 1 1 1
tbi047 1 1 1
tbi049 1 1 1
tbi051 1 1 1
tbi052 1 1 1
tbi058 1 1 1
tbi060 1 1 1
tbi061 1 1 1
tbi062 1 1 1
tbi063 1 1 1
tbi064 1 1 1
tbi065 1 1 1
tbi069 1 1 1
tbi076 1 1 1
tbi079 1 1 1
tbi085 1 1 1

~~~~~~~~~~~~~~
Subj vs apathy:

high low
hc008 0 3
hc011 0 3
hc012 0 3
hc019 0 3
hc022 0 3
hc023 0 3
hc030 0 3
hc034 0 3
hc046 0 3
hc053 0 3
hc055 0 3
hc056 0 3
hc067 0 3
hc068 0 3
hc070 0 3
hc071 0 3
hc072 0 3
hc073 0 3
hc074 0 3
hc075 0 3
hc077 0 3
hc078 0 3
hc081 0 3
hc082 0 3
hc086 0 3
tbi001 0 3
tbi002 0 3
tbi006 3 0
tbi007 3 0
tbi010 3 0
tbi013 3 0
tbi016 0 3
tbi018 0 3
tbi020 3 0
tbi021 0 3
tbi024 3 0
tbi025 3 0
tbi026 3 0
tbi027 3 0
tbi028 3 0
tbi029 3 0
tbi032 0 3
tbi038 0 3
tbi040 0 3
tbi042 0 3
tbi044 0 3
tbi045 0 3
tbi047 0 3
tbi049 0 3
tbi051 0 3
tbi052 0 3
tbi058 0 3
tbi060 0 3
tbi061 3 0
tbi062 3 0
tbi063 0 3
tbi064 3 0
tbi065 0 3
tbi069 3 0
tbi076 3 0
tbi079 3 0
tbi085 0 3

***** End of data structure information *****
++++++++++++++++++++++++++++++++++++++++++++++++++++

Reading input files now...

If the program hangs here for more than, for example, half an hour,
kill the process because the model specification or the GLT coding
is likely inappropriate.

~~~~~~~~~~~~~~~~~~~ Model test failed! ~~~~~~~~~~~~~~~~~~~
Possible reasons:

0) Make sure that R packages afex and phia have been installed. See the 3dMVM
help documentation for more details.

1) Inappropriate model specification with options -model, -wsVars, or -qVars.
Note that within-subject or repeated-measures variables have to be declared
with -wsVars.

2) Misspecifications in general linear test coding with -gltCode.

3) Mistakes in data table. Check the data structure shown above, and verify
whether there are any inconsistencies.

4) Inconsistent variable names which are case sensitive. For example, factor
named Group in model specifiction and then listed as group in the table hader
would cause grief for 3dMVM.
5) Not enough number of subjects. This may happen when there are two or more
withi-subject factors. For example, a model with two within-subject factors with
m and n levels respectively requires more than (m-1)*(n-1) subjects to be able to
model the two-way interaction with the multivariate approach.


** Error:
Quitting due to model test failure...