DarrenWeber wrote: > I'm an experimental psychologist and when I run ANOVA analysis in > SPSS, I normally ask for a test of non-sphericity (Box's M-test). I > also ask for output of the corrections for non-sphericity, such as > Greenhouse-Geisser and Huhn-Feldt. These tests and correction factors > are commonly used in the journals for experimental and other > psychology reports. I have been switching from SPSS to R for over a > year now, but I realize now that I don't have the non-sphericity test > and correction factors. > This can be done using anova.mlm() and mauchly.test() which work on "mlm" objects, i.e., lm() output where the response is a matrix. There is no theory, to my knowledge, to support it for general aov() models, the catch being that you need to have a within-subject covariance matrix.
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