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cruical
2009 Nov 30
1
multiple comparisons with non homogeneus variances
...levels
factor. After having log-tranformed my original data I can assume the
normality of my data but I have two strong departures from the basic
assumptions for anova and t tests: *unbalanced data* (some groups
contain ten samples, others hundreds) and *non homogenity of
variances* (tested with a kruscal test just for a qualitative
assessment).
Is it possible, and how, to make multiple comparisons when these
conditions are met? In past anaylises I've simply used the
pairwise.t.test function to do multiple t-test, but know I have to
consider the above situation...
Thanks a lot,
giovanni