[R] Post-Hoc tests for Friedman Test?

[jon at terraspark.com]

Hi there all,

This is my first post to the list and I'll first say a few things:
- R is great!
- The archives of this list have helped me solve all of my  
problems/questions so far
- I only know enough statistics "to be dangerous"

I'm looking for a way to do post-hoc tests for the Friedman test. I  
have a dataset from a within-subjects design with 5 conditions where  
some of the dependent variables are ordinal, resulting from (summed)  
likert-scaled questionnaire data.

 From what I've read, I could use a wilcox.test on pairs of conditions  
and adjust the p level, but is there something in R that does a better  
job/automates this.

I've seen references to the npmc package but that doesn't seem to do  
what I'm looking for, because it only accepts a data frame with two  
columns - i.e. there's no way to specify grouping/subject identifiers.

Thanks,
Jon Marbach

PhD Student, Computer Science Department
University of Colorado