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
On Mon, 2007-06-25 at 17:53 +1000, Simon Blomberg wrote:
If you use lme, you can fit a general correlation structure to the
within-subject data, and compare the fit to a model assuming
uncorrelated within-subjects errors. That should tell you whether your
data are ...
correlated... (damn
If you use lme, you can fit a general correlation structure to the
within-subject data, and compare the fit to a model assuming
uncorrelated within-subjects errors. That should tell you whether your
data are Aren't the G-G and H-F corrections only approximate fixes?
Surely it is better to work
Darren,
Further to Peter Dalgaard's help;
Take a look at the example in ---
library(car)
?Anova # note upper case 'A'
The example in the Anova help page following the ---
## a multivariate linear model for repeated-measures data
## See ?OBrienKaiser for a description of the data set used
