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How to use a sequence of covariates in linear model (lm)?
3 messages · Michael, R. Michael Weylandt, Joshua Wiley
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 <tufemichael at 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 at 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.
Or pass the covariates as a matrix. See ?lm for details.
On Feb 3, 2012, at 7:51, "R. Michael Weylandt" <michael.weylandt at 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 <tufemichael at 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 at 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 at 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.