On 2/15/2008 11:00 AM, Marc Belisle wrote: > Howdee, > > *** I know that the lmList() function exists, yet I don't want to use it. > *** > > Would anyone be kind enough to tell how I can apply the function lm() to > each level of a given factor so to obtain the intercept and slope for each > factor level within a matrix? > > For instance, suppose a dataframe containing 3 variables: id, x and y. > > I want to compute the function lm() for each level contained in id, as > lmList would do...
Something like this? t(sapply(split(df, list(df$id)), function(subd){coef(lm(y ~ x, data = subd))})) > Thanks for your time, > > Marc > > =================== > Marc Bélisle > Professeur adjoint > Chaire de recherche du Canada en écologie spatiale et en écologie du paysage > Département de biologie > Université de Sherbrooke > 2500 Boul. de l'Université > Sherbrooke, Québec > J1K 2R1 Canada > > Tél: +1-819-821-8000 poste 61313 > Fax: +1-819-821-8049 > Courriél: [EMAIL PROTECTED] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Chuck Cleland, Ph.D. NDRI, Inc. 71 West 23rd Street, 8th floor New York, NY 10010 tel: (212) 845-4495 (Tu, Th) tel: (732) 512-0171 (M, W, F) fax: (917) 438-0894 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.