On 01/18/2013 04:02 AM, Mary wrote:
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. -Mary
Hi Mary, I'm not exactly sure what you are doing with the "melt" function, but does: matplot(mydata$id,mydata[,2:6],col=mydata$colorvar+1,type="l") give you something like what you want? Jim ______________________________________________ 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.
