Dear all,
I am trying to visualize the regression coefficients of the linear model
that the function aov() implicitly fits. Unfortunately the function
summary.lm() throws an error I do not understand. Here is a toy example:
dv <- c(1,3,4,2,2,3,2,5,6,3,4,4,3,5,6);
subject <-
factor(c("s1","s1","s1","s2","s2","s2","s3","s3","s3","s4","s4","s4","s5","s5","s5"));
myfactor_c <-
factor(c("f1","f2","f3","f1","f2","f3","f1","f2","f3","f1","f2","f3","f1","f2","f3"))
mydata_c <- data.frame(dv, subject, myfactor)
mod_c <- aov(dv ~ myfactor_c + Error(subject/myfactor_c), data=mydata_c)
> summary.lm(mod_c)
Error in if (p == 0) { : argument is of length zero
Please note that the example is a within-subject design with factor
myfactor_c.
Any help is greatly appreciated.
Best
Cristiano
PS. If this is a stupid question, I apologize. I am very new to R.
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