To follow up on John's advice:
Start with something like
my.mod <- lm(cbind(OpenR1, OpenR2, OpenR3) ~ AgeClass * Treatment,
data=my.data)
then read ?Anova to see how to specify idata= and idesign= for the
repeated factor.
hth,
-Michael
John Fox wrote:
Dear Ingo,
One approach would be to use the Anova() function in the car package. See
?Anova and in particular the O'Brien and Kaiser example, which is for a more
complicated repeated-measures design. If you want to get "type-III" tests
(as opposed to the default "type-II" tests), be careful with the contrast
coding for the between-subjects factors.
I hope this helps,
John
--------------------------------
John Fox
Senator William McMaster
Professor of Social Statistics
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On
Behalf Of protonringe
Sent: December-13-09 11:29 AM
To: r-help@r-project.org
Subject: [R] Repeated Measures Analysis - GLM
Hello to the R world...
I have some problems regarding a GLM - repeated measures analysis.
I want to test overall differences between AgeClass and Treatment (between
subject) with OpenR1+OpenR2+OpenR3 (repeated measures, within subject).
The
table looks kind like this:
AgeClass Treatment OpenR1 OpenR2 OpenR3
1 1 0 0 12.63
1 1 12.67 3.83 45.67
1 1 38.46 65.38 75.21
1 1 14.46 0 17.96
1 2 27.83 47.33 66.38
1 2 15.75 0 10.21
1 2 43.96 41.04 51.88
1 2 52.96 55.54 41.58
1 3 43.13 71.25 82.71
1 3 0.25 18.46 27.04
1 3 0.79 21.75 68.38
2 1 0 0 0
2 1 0 0 0
2 1 1.17 18.75 45.67
2 1 0 0 0
2 1 0 0 49.42
2 2 2.13 0 26.63
2 2 0 8.13 23.88
2 2 2.25 0 0
2 2 30.96 25.71 10.92
2 3 33.33 30.71 16.63
2 3 0 20.04 14.88
2 3 24.96 0 3.88
.
.
.
I tried several things, for example this:
aov(?????~(OpenR1*OpenR2*OpenR3*AgeClass*Treatment)+Error(??????/(OpenR1*Ope
n
R2*OpenR3))+(AgeClass*Treatment))
I don't really know what response-variable to use, or what the
subject-variable is....
There is no problem to create the model with SPSS, but for my
Diploma-Thesis
in biology i want to do all the statistics with R...
Regards and many thanks in advance....
Ingo
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--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736-5814
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and provide commented, minimal, self-contained, reproducible code.