Hi R people,
I'm trying to do a Anova with 3 different tests (intra subject), 6 times of
measures (intra subject) and 3 groups (inter subject). I want to obtain an
Huynh-Feldt epsilon on accuracy with >anova(lm(acc.t1~gr.dem),test="Spherical")
for test 1 # gr.dem is my group variable
>anova(lm(acc.t2~gr.dem),test="Spherical") for test 2
>anova(lm(acc.t3~gr.dem),test="Spherical") for test 3

acc.t1, acc.t2 and acc.t3 was data frames with 6 columns each

the results was something like this:

Analysis of Variance Table

Greenhouse-Geisser epsilon: 0.2746
Huynh-Feldt epsilon:        0.2915

             Df         F num Df den Df     Pr(>F)     G-G Pr     H-F Pr
(Intercept)   1 7352.7017      6    150 1.640e-182  6.894e-52  6.269e-55
gr.dem        1    0.6222      6    150    0.71230    0.51170    0.52064
Residuals    25

And so what could I do with my epsilon?
Previous aov() revealed me that there no effects of my groups but is my 6
times measures factor and my test factor were always significant?

Guillaume

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