I think what you want is this: lapply(apply(combn(5, 4), 2, function(x)mD[,x]), function(x)lm(X.SSMII ~ ., data=x))
On 08/02/2008, AliR <[EMAIL PROTECTED]> wrote: > > http://www.nabble.com/file/p15359204/test.data.csv > http://www.nabble.com/file/p15359204/test.data.csv test.data.csv > > Hi, > > I have used apply to have certian combinations, but when I try to use these > combinations I get the error > [Error in eval(expr, envir, enclos) : object "X.GDAXI" not found]. being a > novice I donot understand that after applying combination to the data I cant > access it and use lm on these combinations. The data frame either is no > longer a matrix, how can I access the data and make it work for lm!! > > Any help please! > > > > > > > fruit = read.csv(file="test.data.csv",head= TRUE, sep=",")# read it in > matrix format > > #fruit =read.file(row.names=1)$data > > mD =head(fruit[, 1:5])# only first five used in combinations > #X.SSMII = head(fruit[, 6])# Keep it for referebce > nmax = NULL > n = ncol(mD)# dont take the last column for reference purpose > if(is.null(nmax)) nmax = n > > mDD = apply(combn(5, 1),1, FUN= function(y) mD[, y])# to > > > > fg = lm( X.SSMII ~ X.GDAXI + X.FTSE + X.FCHI + X.IBEX, data = mDD )# > regress on combos > > s = cbind(s, Residuals = residuals(fg))# take residuals > > print(mD) > > -- > View this message in context: > http://www.nabble.com/Applying-lm-to-data-with-combn-tp15359204p15359204.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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 ______________________________________________ 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.
