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how to generalize the arguments for lm() (r-help@lists.R-project.org)
3 messages · Math Girl, Dimitris Rizopoulos, Gabor Grothendieck
you can just use a design matrix on the right hand side of 'formula', e.g., factors <- matrix(rnorm(100*10), 100, 10) y <- rnorm(100) lm(y ~ factors) I hope it helps. Best, Dimitris
Math Girl wrote:
Hello,
How could I generalize the following statement for an arbitrary number of columns instead of 7?
result[[i]]<-lm( returns[,i] ~ factors[,1] + factors[,2] + factors[,3] + factors[,4] + factors[,5] + factors[,6] + factors[,7] )
Thank you,
Mathgurl
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______________________________________________ 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.
Dimitris Rizopoulos Assistant Professor Department of Biostatistics Erasmus Medical Center Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands Tel: +31/(0)10/7043478 Fax: +31/(0)10/7043014
Using the built in CO2 data frame this regresses uptake on all the other columns: lm(uptake ~., CO2)
On Sun, Dec 28, 2008 at 2:28 AM, Math Girl <mathmathgurl at yahoo.com> wrote:
Hello,
How could I generalize the following statement for an arbitrary number of columns instead of 7?
result[[i]]<-lm( returns[,i] ~ factors[,1] + factors[,2] + factors[,3] + factors[,4] + factors[,5] + factors[,6] + factors[,7] )
Thank you,
Mathgurl
[[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.