Thierry 1.
ggplot(mydata, aes(y = VALUE, x = SERIES)) + geom_boxplot() + facet_grid(.~ ID) creates a grid with three ID columns (ID1, ID2, ID3) and six SERIES columns within each ID column with two boxplots in each ID column (C10, C2) (C15, C4), (C20, C8). I was aiming for a grid with ID columns and SERIES rows. However if I try something like this: ggplot(mydata, aes(y = VALUE, x = factor(1))) + geom_boxplot() + facet_grid(SERIES ~ ID) I get an error: Error: position_dodge requires the following missing aesthetics: x Yet this works fine for a single boxplot (as you showed previously) if I remove the facet_grid() command. Any ideas? Or perhaps my only recourse is to build this up programmtically, such as: (pseudo-ish code) for id, ser in ids, series: dat <- subset(mydata, (id %in% ids & ser %in% series) boxplot(dat) in grid position id, ser Can I specify grid plotting grid by grid with ggplot or do I need to look at lattice graphics? (I'd like to stick with ggplot if I can) ONKELINX, Thierry wrote: > > Chris, > > 1. > This will make more sense. > > ggplot(mydata, aes(y = VALUE, x = SERIES)) + geom_boxplot() + > facet_grid(.~ ID) > > 2. > Now I think I understand want you want. I'm affraid that won't be easy > because you're trying to mix continuous variables with categorical ones > on the same scale. A density plot has two continuous scales: VALUE and > it's density. The boxplot has a continuous scale (VALUE) and the other > is categorical. Maybe Hadley knows a solution for your problem. > > Thierry > > -- View this message in context: http://www.nabble.com/ggplot2-boxplot-confusion-tp15706116p15725522.html 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.
