Are you sure, you want to calculate 68% confidence intervals? Use the add-argument in ?errorbar to add to the previous plot. errbar(x2,y2,y2+1.96*SD2, y2-1.96*SD2, col="green",pch=19, add=TRUE)
Best, Nello -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of beginner Sent: Freitag, 28. Juni 2013 02:24 To: r-help@r-project.org Subject: [R] Scatter plot with error bars Hi I would like to plot multiple data sets on a scatter plot with error bars. To do this I write the following code: install.packages("Hmisc") library(Hmisc) x1<-data1[,1] y1<-data1[,2] x2<-data2[,1] y2<-data2[,2] x3<-data3[,1] y3<-data3[,2] SD1<-data1[,3] SD2<-data2[,3] SD3<-data3[,4] delta<-runif(5) errbar(x1,y1,y1+SD1, y1-SD1, col="red",pch=19) lines(x1,y1,col="red", pch=19, lty=3) errbar(x2,y2,y2+SD2, y2-SD2, col="green",pch=19) lines(x2,y2,col="green", pch=19, lty=3) errbar(x3,y3,y3+SD3, y3-SD3, col="blue",pch=19) lines(x3,y3,col="blue", pch=19, lty=3) However, with this code I can obtain only the scatter plot for x1, y1, but not for the other data sets. Could you please let me know how should I modify the code presented above ? In other situations, when I try to make a scatter plot of several data sets without error bars, I usually use points () function. However it does not work in the presented case... I would be very grateful for your help. -- View this message in context: http://r.789695.n4.nabble.com/Scatter-plot-with-error-bars-tp4670502.htm l Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
