Hi,
I have a design with 1 group and repeated measures and a covariate whose
effects
I¹d like to remove from the data. I tried different models with aov but am
not sure if I did it correctly. The design is thus 4 blocks and n=15 and a
covariate ³cov²
1- aov.m = aov(da~block+cov+Error(subj),data=d); summary(aov.m)
Error: subj
Df Sum Sq Mean Sq F value Pr(>F)
cov 1 0.37859 0.37859 2.709 0.1237
Residuals 13 1.81677 0.13975
Error: Within
Df Sum Sq Mean Sq F value Pr(>F)
block 3 0.89600 0.29867 10.7536 2.413e-05 ***
cov 1 0.00030 0.00030 0.0109 0.9173
Residuals 41 1.13872 0.02777
Did I did set it up right??
Could I use lm and /or lme to get the covariate out. What would be the
formula??
Thanks for your help
__________________
Patrick Bédard Ph.D.
Dept. of Neuroscience
Brown University
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