Hi all,
Dear Dr. Wheeler,
I am trying to use the lmPerm package to perform multiple regression on
microarray data with certain empirical variables associated with
treatments of the experiment. In order the circumvent the very
conservative multiple test corrections such as Bonferroni and BH, I try
to use permutated probabilities to assess associations.
In addition to mu previous posting I have another question:
Why is lmp() not giving an estimated intercept for a linear regression
model (like in lm())?
kind regards,
Thierry
--
Thierry K.S. Janssens
Vrije Universiteit Amsterdam
Faculty of Earth and Life Sciences
Institute of Ecological Science
Department of Animal Ecology,
De Boelelaan 1085
1081 HV AMSTERDAM, The Netherlands
Phone: +31 (0)20-5989147
Fax: +31 (0)20-5987123
thierry.janssens at ecology.falw.vu.nl
Thierry Janssens <thierry.janssens at ecology.falw.vu.nl
<mailto:thierry.janssens at ecology.falw.vu.nl>>
Vrije Universiteit Amsterdam
Animal Ecology
--
Thierry K.S. Janssens
Vrije Universiteit Amsterdam
Faculty of Earth and Life Sciences
Institute of Ecological Science
Department of Animal Ecology,
De Boelelaan 1085
1081 HV AMSTERDAM, The Netherlands
Phone: +31 (0)20-5989147
Fax: +31 (0)20-5987123
thierry.janssens at ecology.falw.vu.nl
