you could use function lmList() from the nlme package, i.e.,
dat <- data.frame(y = rnorm(120), x = runif(120, -3, 3), g = rep(1:3,
each = 40))
############
library(nlme)
m <- lmList(y ~ x | g, data = dat)
m
summary(m)
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: "Krishna" <snvk4u at gmail.com>
To: <r-help at stat.math.ethz.ch>
Sent: Monday, August 08, 2005 12:20 PM
Subject: [R] help on regression by subsets in dataset
> Hi Everyone
>
> May I request for a small help while performing the regression
> analysis.
>
> I would like to know is there any possibility of conducting the
> regression for different data subsets (in the same data file),
> classified on the basis of "grouping variable". The alternative
for
> this is running the regression for n number of times which you all
> know is quite cumbersome.
>
> Thank you for your kind attention and help
>
> rgds
>
> krishna
>
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