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
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