Why not simply read it as an csv file, then transpose it. If you also store it as a data frame, you can use attach() or detach() the object to the search path whenever you want to access the variables directly.
df <- read.csv( "tmp.txt", header=FALSE, row.names=1 ) df <- data.frame( t( df ) ) df freq noise signal pctrcv V2 0 49 99 5 V3 1 47 0 0 V4 2 48 100 5 V5 3 48 0 0 V6 4 50 0 0 V7 5 47 100 5 V8 6 48 0 0 V9 7 47 100 5 V10 8 46 100 11 V11 9 50 0 0 V12 16 48 100 5 V13 17 54 101 5 V14 18 49 100 5 V15 19 47 0 0 V16 20 49 0 0 attach( df ) pctrcv [1] 5 0 5 0 0 5 0 5 11 0 5 5 5 0 0 signal / noise [1] 2.020408 0.000000 2.083333 0.000000 0.000000 2.127660 0.000000 2.127660 [9] 2.173913 0.000000 2.083333 1.870370 2.040816 0.000000 0.000000 On Thu, 2005-03-03 at 12:22 -0900, Ken Irving wrote: > Hi, > > New to R, using version 2.0.1 (2004-11-15) on debian Linux (sid), kernel > 2.6.8-2-686. > > I have data in files with separate vectors on each row of the file, > e.g., > > $ cat /tmp/stats > freq,0,1,2,3,4,5,6,7,8,9,16,17,18,19,20,... > noise,49,47,48,48,50,47,48,47,46,50,48,54,49,47,49,... > signal,99,0,100,0,0,100,0,100,100,0,100,101,100,0,0,... > pctrcv,5,0,5,0,0,5,0,5,11,0,5,5,5,0,0,... > > I can transpose the data file (e.g., using an awk script), and then read > it using read.csv("tstats"), > > $ transpose /tmp/stats > /tmp/tstats > $ cat /tmp/tstats > freq,noise,signal,pctrcv > 0,49,99,5 > 1,47,0,0 > 2,48,100,5 > ... > > but would prefer to import the line-oriented files directly. I've > drawn a blank after perusing help, documentation, google searches, etc.. > > Something like read.csv( "transpose stat |" ) might be nice, e.g., the > trailing pipe symbol invokes the argument as a shell pipeline, then > reads from stdin, but I'm just making this up... Actually, this does > work: > > t <- read.csv( pipe("transpose stat1") ) > > but it does rely on an external transpose command. Is there a way to > read line-oriented vector files directly? > > Thanks for any help or leads, > > Ken > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html