Hi all, I need to run several simple linear regressions at once, using the following data. Response variables: Bird species (sp 1, sp2, sp3...spn). Independent variable: Natprop - proportion of natural area. covarate: Effort = hours). One single linear regression would be: lmSp1 <- lm(sp1~ natprop + effort). However, I need to run this linear regression for all bird species that I have individually (n = 163). I would like to do it at once and store the coefficients in a single data frame. Is that possible?
Table that I have: Square Sp1 Sp2 Sp3 Sp4 Spn Natprop Effort 1 1 0 1 1 0 0.5 10 2 1 0 1 1 0 0.6 20 3 1 1 0 1 0 0.8 23 4 1 0 1 0 0 0.8 50 n 0 1 0 1 1 0.9 30 Thanks in advance. Rafael. ********************************************** RAFAEL CAMARGO Postgraduate Student Biology Department of University of Ottawa 30 Marie Curie, room # 351 Ottawa, ON, CANADA Tel: +1 (613) 562-5800 ext. 6366 Cel: +1 (613) 869-3772 e-mail: rcama...@uottawa.ca rafael.x.cama...@gmail.com ______________________________________________ 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.