I was asked to check a small dataset (3 replicates for 5 treatments, each) for significant outcome differences.
I give an example:
The variance within replicates in the data cannot be assumed equal, so i thought a pairwise t-test is not appropriate.
For another dataset (60 replicates per treatment), i used
glht() from the multcomp-package in R, but i was told the sample size of my current data set is too small for it too work.
The question is, are there even tests that are suitable for nonparametric data with large within-replicate-variance and small sample sizes?
If so, is it possible to get a pairwise comparison chart output? I thought that agricolae's
kruskal() comes in very handy, but i have no idea if kruskal is very good for my problem.
Any alternatives (if there are any) are much welcome.