Or pass the covariates as a matrix. See ?lm for details. On Feb 3, 2012, at 7:51, "R. Michael Weylandt" <michael.weyla...@gmail.com> wrote:
> Usually that's what the dot in a formula is used for. > > E.g., > > data(iris) > str(iris) > lm(Petal.Width ~ ., data = iris) > > Michael > > On Fri, Feb 3, 2012 at 10:45 AM, michael <tufemich...@gmail.com> wrote: >> I have a high dimension linear model: >> >> y~ x1 + x2 + ... + x_n. n is very large. >> >> For linear model fit, I wish to use a sequence of covariates, say X1 to >> X200, without typing every single covariate in the function (my variable >> names are coded in the pattern of X1, X2, ...). I think all.var or >> all.names might have worked but I can't figure out how to do it. Please >> help. >> >> Thanks, >> >> Michael >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> 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. > > ______________________________________________ > 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. ______________________________________________ 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.
