you could use the function matplot(), e.g., x <- 1:20 vals <- 2 + rep(1:5, each = 20) * rep(x, 5) + rnorm(100) dim(vals) <- c(20, 5)
matplot(x, vals, type = "l", lty = 1) I hope it helps. Best, Dimitris ---- Dimitris Rizopoulos Ph.D. Student Biostatistical Centre School of Public Health Catholic University of Leuven Address: Kapucijnenvoer 35, Leuven, Belgium Tel: +32/(0)16/336899 Fax: +32/(0)16/337015 Web: http://med.kuleuven.be/biostat/ http://www.student.kuleuven.be/~m0390867/dimitris.htm ----- Original Message ----- From: "tomaschwutz" <[EMAIL PROTECTED]> To: <r-help@r-project.org> Sent: Thursday, February 14, 2008 3:55 PM Subject: [R] plot each column of a matrix or dataframe versus x in a singleplot > How do a plot several columns of a matrix at once in a single plot > versus a single x-variable? > > The default plot.matrix or plot.dataframe commands plot each column > versus each other column in several sub-plots. I want to plot each > column versus a single other vector (x) as several lines or points > in > one plot. > > I can do it by hand: get the range of all variables (i.e. columns of > the matrix or dataframe), initiate an empty plot command, loop > through > all the columns and issue a lines or points command. > I guess there is a predefined sophisticated function for that, > however, I was not able to find it. > > Does someone know where I find such a function? > > Best regards > tomaschwutz > > ______________________________________________ > 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. > Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm ______________________________________________ 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.