You can construct the formula on the fly. Say you have a data frame with columns: y, x1,...x10:
dat <- data.frame(matrix(rnorm(1100), ncol=11, dimnames=list(NULL,c("y", paste("x", 1:10, sep=""))))) Then you could construct the formula using: form <- formula(paste("y ~ ", paste(names(dat)[which(names(dat) != "y")], collapse="+"))) fit <- lm(form, data=dat) HTH, Simon. On Thu, 2008-11-13 at 09:27 +0900, June Kim wrote: > Hello, > > Say I want to make a multiple regression model with the following expression: > > lm(y~x1 + x2 + x3 + ... + x_n,data=mydata) > > It gets boring to type in the whole independent variables, in this > case x_i. Is there any simple way to do the metaprogramming for this? > (There are different cases where the names of the independent > variables might sometimes have apparent patterns or not) > > ______________________________________________ > 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. -- Simon Blomberg, BSc (Hons), PhD, MAppStat. Lecturer and Consultant Statistician Faculty of Biological and Chemical Sciences The University of Queensland St. Lucia Queensland 4072 Australia Room 320 Goddard Building (8) T: +61 7 3365 2506 http://www.uq.edu.au/~uqsblomb email: S.Blomberg1_at_uq.edu.au Policies: 1. I will NOT analyse your data for you. 2. Your deadline is your problem. The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. - John Tukey. ______________________________________________ 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.