try this: file_s <- list.files(path = ".", pattern = "v2.0.2.txt", all.files = FALSE, full.names = FALSE, recursive = FALSE, ignore.case = FALSE) result <- do.call(rbind, lapply(file_s, function(.file){ data <- read.table(.file, header=TRUE) data.frame(lat = data[,7] # latitude , lon = data[,8] # longitude , gas = data[,45] # gas , time.s = data[,5] # time , stringsAsFactors = FALSE ) }))
On Tue, Feb 14, 2012 at 5:07 AM, uday <uday_143...@hotmail.com> wrote: > I have some data files e.g 100 . and after for loop I would like to save all > data in one single data frame > > file_s <- list.files(path = ".", pattern = "v2.0.2.txt", all.files = FALSE, > full.names = FALSE, recursive = FALSE, > ignore.case = FALSE) > for (i in 1:100){ > data = read.table(file_s[i],header=TRUE) > lat = data[,7] # latitude > lon = data[,8] # longitude > gas = data[,45] # gas > time.s = data[,5] # time > } > > How I should get all these 100 files variable in to single data frame ? > > > -- > View this message in context: > http://r.789695.n4.nabble.com/save-output-of-loop-tp4386599p4386599.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. -- Jim Holtman Data Munger Guru What is the problem that you are trying to solve? Tell me what you want to do, not how you want to do it. ______________________________________________ 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.