Hi
> -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Mary > Sent: Thursday, January 17, 2013 6:02 PM > To: r-help@r-project.org > Subject: Re: [R] Getting discrete colors on plot > > Hi, > > This is my first post; I'm new to R but am a senior statistical > programmer. I have done a lot of graphs using SAS Graph but now am > trying to transition to using graphs in R. > > I'm trying to produce a graph where the colors have three categories- > ideally I would like them to be Green for good, Yellow for > Questionable, and Red for bad. > > So I tried to do this in GGPLOT; here is my code: > > id <- c(1,2,3,4,5) > x1 <- c(5,2,3,5,1) > x2 <- c(4,1,3,5,1) > x3 <- c(5,2,3,5,1) > x4 <- c(4,3,3,5,1) > x5 <- c(3,1,3,5,1) > colorvar <- c(3,1,2,3,1) > > mydata <- data.frame(id,x1,x2,x3,x4,x5,colorvar) > head(mydata) > > # convert to long format > require("reshape") > mydata_long <- melt(mydata, id=c("id", "colorvar")) > head(mydata_long) > > require("ggplot2") > p <- ggplot(data=mydata_long, > aes(x=variable, y=value, > group=id, colour = colorvar)) + > geom_line() > p > > > This works, but I get more colors on the graph than my colorvar has. I > have 3 colors on my colorvar, but 5 colors show up on the graph, > including 1.5 and 2.5. How do I tell ggplot only to use the 3 colors > and not give me a gradient of colors? Also how would I specify the > colors that I want, such as the RGB equivalents of green, yellow, and > red? My real data will have many more records. Learn to use factors. str(mydata) 'data.frame': 5 obs. of 7 variables: $ id : num 1 2 3 4 5 $ x1 : num 5 2 3 5 1 $ x2 : num 4 1 3 5 1 $ x3 : num 5 2 3 5 1 $ x4 : num 4 3 3 5 1 $ x5 : num 3 1 3 5 1 $ colorvar: num 3 1 2 3 1 > Your colorvar is numeric therefore the scale. If you want to make it discrete change it to factor. mydata_long$colorvar<-factor(mydata_long$colorvar) and use your function to see the difference. Regards Petr > > -Mary > > ______________________________________________ > 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.
