G'day Murray, On Sun, 24 Aug 2008 18:34:39 +1200 Murray Jorgensen <[EMAIL PROTECTED]> wrote:
> I want to extra the part of the formula not including the response > variable from an lm object. For example if the lm object ABx.lm was > created by the call > > ABx.lm <- lm( y ~ A + B + x, ...) > > Then ACx.lm is saved as part of a workspace. > I wish to extract "~ A + B + x". Later in my code I will fit > another linear model of the form z ~ A + B + x for some other > response variable z. I would be grateful for any suggestions of a > nice way to do this. AFAIK, a formula is essentially a list of two or three components. The first component is "~". The second is the LHS of the formula if there are three components; otherwise the RHS of the formula. The third component, if it exists, is the RHS of the formula. So storing "~ A + B + x" and manipulating this part for different responses could turn out to be painful; you would have to insert the new LHS as the second component of the list. I would suggest that it is easier to store the complete formula and just manipulate the LHS; see: R> library(MASS) R> fm <- lm(time~dist+climb, hills) R> formula(fm) time ~ dist + climb R> formula(fm)[[1]] `~` R> formula(fm)[[2]] time R> formula(fm)[[3]] dist + climb R> tt <- formula(fm) R> tt[[2]] <- NULL R> tt ~dist + climb R> tt <- formula(fm) R> class(tt[[2]]) [1] "name" R> typeof(tt[[2]]) [1] "symbol" R> tt[[2]] <- as.name("y") R> tt y ~ dist + climb R> tt <- formula(fm) R> tt[[2]] <- as.symbol("z") R> tt z ~ dist + climb HTH. Cheers, Berwin =========================== Full address ============================= Berwin A Turlach Tel.: +65 6515 4416 (secr) Dept of Statistics and Applied Probability +65 6515 6650 (self) Faculty of Science FAX : +65 6872 3919 National University of Singapore 6 Science Drive 2, Blk S16, Level 7 e-mail: [EMAIL PROTECTED] Singapore 117546 http://www.stat.nus.edu.sg/~statba ______________________________________________ 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.