Hi everyone, Hadley, it seems there's a bug in geom_ribbon() when using it in a log-scaled plot:
d<-data.frame(x=c(1:20),y1=rnorm(20)+3,y2=rnorm(20)+5) p<-ggplot() p<-p+geom_ribbon(data=d,aes(x=d[["x"]],min=d[["y1"]],max=d[["y2"]])) p<-p+geom_line(data=d,aes(x=d[["x"]],y=d[["y1"]]),colour="blue") p<-p+geom_line(data=d,aes(x=d[["x"]],y=d[["y2"]]),colour="red") p2+scale_y_continuous() ...gives the plot I want, only with my actual data, I'd need it in log-scale: p2+scale_y_log10() shifts the ribbon far above the actual data (factor 1000, if I see it right, but I haven't tested it with different data to check on that...). I'm using the latest version of ggplot2 (0.5.7). Has anyone any suggestions for a workaround/patch? Many Thanks, Martin ______________________________________________ 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.
