[R] repeated measures anova equivalent using lmer

[aruna sudarshan]

I am trying to run a linear mixed effects model similar to the 2*2*2 anova
design. My DV is reaction time and fixed factors are time (pre vs.
post:within-subject), condition (congruent vs. incongruent: within subject)
and stimulation (vertex vs. DLPFC: between subject)
My concerns are:
a)I have very few participants: 7 in the vertex condition and 7 in the
DLPFC condition.
b)2 out of the 7 participants participated in both vertex and DLPFC
condition.
 How do I compute a nested lmer model with reaction time as DV and time,
condition and stimulation as factors? and how do i account for random
intercepts and slopes with few number of participants?
Thanks for all the help

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