Tribo, Use data.frame() and rbind() to combine the vectors.
x_test1 <- c(1:10) y_test1<-rnorm(10) x_test2 <- c(1:15) y_test2<-rnorm(15) x_test3 <- c(1:20) y_test3<-rnorm(20) dataset <- rbind(data.frame(Test = "Test 1", x = x_test1, y = y_test1), data.frame(Test = "Test 2", x = x_test2, y = y_test2), data.frame(Test = "Test 3", x = x_test3, y = y_test3)) dataset$Test <- factor(dataset$Test) library(ggplot2) ggplot(data = dataset, aes(x = x, y = y, colour = Test)) + geom_line() HTH, Thierry ------------------------------------------------------------------------ ---- ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, methodology and quality assurance Gaverstraat 4 9500 Geraardsbergen Belgium tel. + 32 54/436 185 [EMAIL PROTECTED] www.inbo.be Do not put your faith in what statistics say until you have carefully considered what they do not say. ~William W. Watt A statistical analysis, properly conducted, is a delicate dissection of uncertainties, a surgery of suppositions. ~M.J.Moroney -----Oorspronkelijk bericht----- Van: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Namens Tribo Laboy Verzonden: vrijdag 1 februari 2008 9:59 Aan: r-help@r-project.org Onderwerp: [R] Reformatting data into data frame and plotting it in ggplot2 Hello, I am sure this must have been asked before, but my nabble search did not turn anything useful. Just pointer where to look will also be nice. So, I have the following data: x_test1 <- c(1:10) y_test1<-rnorm(10) x_test2 <- c(1:15) y_test2<-rnorm(15) x_test3 <- c(1:20) y_test3<-rnorm(20) These represent time series or frequency spectra, possibly sampled with different sampling frequencies, but obviously having different lengths. The physical meaning of X and Y is the same for the three series above - as I said, time or frequency in my case. Now I want to plot them on the same graph with the legend "test1", "test2" and "test3". ggplot PDF manual says that the data frame is the preferable format for the data to plot. I guess that turning the above data into a data frame would be useful in many other situations as well. So how can I do that? ______________________________________________ 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.