You can use (*)apply functions: sapply(paste("V1 ~", names(dat)[2:5]), function(f)coef(lm(as.formula(f), data = dat)))
Where V1 is your first column and dat is your data.frame object. On Mon, Jun 15, 2009 at 6:42 PM, Oscar Bayona <osba...@gmail.com> wrote: > Hi I have a simple question. I want to run a "n times" a simple linear > regession and save beta in a matrix but I´m not able. > > Imagine: > > Data.txt is a 10*5 file and want to run 4 different stimations always > regressing first column on the rest. > > So I try this: > > First I run Data on memory > > This is my function > > mrp <- function(){ > mr<-matrix(0,4,1) > for(i in 1:4) > r(i)=lm(dat(,i+1)~dat(,1) > mr[i] <- coefficients(r(i))) > } > > I execute mrp usin source file choose option but nothing happens.... > > Where I´m wrong? > > [[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. > > -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O [[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.