Christof, I've added support for this to the R.filesets package. In your case, then all you need to do is:
library("R.filesets") dlf <- readDataFrame(filename, skip="^year") No need to specify any other arguments - they're all automagically inferred - and the default is stringsAsFactors=FALSE. This is in R.filesets v2.0.0 which I still haven't published on CRAN. In the meanwhile, you can install it via: source("http://aroma-project.org/hbLite.R") hbLite("R.filesets") /Henrik On Thu, Jan 17, 2013 at 1:34 AM, Christof Kluß <ckl...@email.uni-kiel.de> wrote: > Hello > > thank you for the fast and helpful answer! Now the following works fine for > me > > x <- readLines(filename) > > i <- grep("^year", x) > dlf <- read.table(textConnection(x[i:length(x)]), > header = T, stringsAsFactors=F,sep="\t") > > Greetings > Christof > > > Am 16-01-2013 16:55, schrieb Rui Barradas: > >> Hello, >> >> Read the file using readLines, then grep "^year". You can then use a >> textConnection to read.table: >> >> x <- readLines(con = textConnection( >> "informations (unknown count of lines) >> ... and at some point the table >> ------ >> year month mday value >> 2013 1 16 0 ")) >> >> # This is it >> i <- grep("^year", x) >> read.table(textConnection(x[i:length(x)]), header = TRUE) >> >> >> Hope this helps, >> >> Rui Barradas >> >> Em 16-01-2013 14:17, Christof Kluß escreveu: >>> >>> Hi >>> >>> I would like to read table data from a text-files with extra >>> informations in the header (of unknown line count). Example: >>> >>> informations (unknown count of lines) >>> ... and at some point the table >>> ------ >>> year month mday value >>> 2013 1 16 0 >>> ... >>> >>> If it was an excel file I could use something like read.xls(..., >>> pattern="year") But it is a simple tab seperated text-file. Is there >>> an easy way to read only the table? (Without dirty things ;)) >>> >>> Thx >>> Christof >>> >>> ______________________________________________ >>> 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. >> >> > > ______________________________________________ > 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. ______________________________________________ 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.