you haven't told us what kind of variable you measure, but either way
look at lmer() function in lme4 package which fits both linear and
generalized linear mixed-effects models.
I hope it helps.
Best,
Dimitris
----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/16/336899
Fax: +32/16/337015
Web: http://www.med.kuleuven.be/biostat/http://www.student.kuleuven.be/~m0390867/dimitris.htm
----- Original Message -----
From: "Felix Royo" <z319112 at hotmail.com>
To: <r-help at stat.math.ethz.ch>
Sent: Wednesday, August 10, 2005 9:09 AM
Subject: [R] Treatment-response analysis along time
Dear R people,
I wonder if you could give me a hand with some of my data. I have a
very
typical analysis in biology, however it is difficult for me to find
the
right way to analyse. I had a group of animals, I gave them a
treatment, and
I measure a variable along time -one??s per day- along 5 days,for
example(fake data):
Animals Time1 Time2 Time3 Time4
1 1 5 3 1
2 2 7 4 1
3 5 5 3 1
4 1 3 7 2
5 2 7 7 1
Please, notice that all the animals get the same treatment, and there
are no
control -animals which has no received any treatment.
Normally I handle this kind of data with SPSS and Repeated Measurement
analysis. That tell me if there is a change along the time, but no
information about when the treatment start to be effective, when the
effect
has pass. Besides, i would like to be able to handle this data with R.
I have been looking at Crawley's S-plus book, and I cannot find
similar
example as I have, not either in the Dalgaard??s introduction to R,
because
he uses an example where different animals are measured as each
time -using
time as a factor in a one way anova (I am hope I am right).
Thanks for your help and time.
Best regards
Felix
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