You can do it, but mu1 has a much smaller variance and mu3 and mu4 are almost identical so they overplot.
> xy1 <- density(mu1) > xy2 <- density(mu2) > xy3 <- density(mu3) > xy4 <- density(mu4) > Density <- cbind(xy1$y, xy2$y, xy3$y, xy4$y) > x <- cbind(xy1$x, xy2$x, xy3$x, xy4$x) > matplot(x, Density, type="l") > legend("topright", c("mu1", "mu2", "mu3", "mu4"), col=1:4, lty=1:4) ------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77840-4352 -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of IZHAK shabsogh Sent: Thursday, June 26, 2014 1:47 AM To: r-help@r-project.org Subject: [R] graph kindly guide me on how i can plot the following data on the same graph using the kernel density. i will like to use as to compare performance mu1<-c(500.0035, 501.2213, 500.7532, 500.2622, 500.3391, 500.1618, 499.9511, 500.1843, 499.8945, 499.8467) mu2<-c(498.9623, 504.7938, 506.8957, 495.6634, 506.2751, 503.4344, 503.9103, 512.3021,492.3065, 500.8908) mu3<-c(498.9352, 501.3470, 506.7885, 497.3446, 505.6911, 500.0000, 503.9103, 512.0994,492.3065, 500.0001) mu4<-c(498.5626, 501.3469, 506.7781, 497.3466, 505.6723, 500.0000, 503.9103, 512.0936,492.3065, 500.0000) thanks [[alternative HTML version deleted]] ______________________________________________ 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.