问题
My questions is similar to Normalizing y-axis in histograms in R ggplot to proportion but I'd like to add to it a bit.
In general, I have 6 histograms in a 2x3 facet design, and I'd like to normalize each of them separately. I'll try to make a sample data set here to give an idea:
hvalues=c(3,1,3,2,2,5,1,1,12,1,4,3)
season=c("fall","fall","fall","fall","winter","winter","winter","winter","summer","summer","summer","summer")
year=c("year 1","year 1","year 2","year 2","year 1","year 1","year 2","year 2","year 1","year 1","year 2","year 2")
group=c("fall year 1","fall year 1","fall year 2","fall year 2","winter year 1","winter year 1","winter year 2","winter year 2","summer year 1","summer year 1","summer year 2","summer year 2")
all=data.frame(hvalues,season,year)
Using
ggplot(all, aes(x=hvalues,group=group)) +
geom_histogram(aes(y=..count../sum(..count..))) +
facet_grid(season ~ year)
gives the proportions overall (i.e. combining all the facets). I'd like each group facet to be normalized to 1. hvalues are not integers in my actual data - they are numerical.
I am a novice using R, and would really appreciate some help. Thanks in advance!
回答1:
The solution is:
ggplot(all, aes(x=hvalues)) +
facet_grid(season ~ year,drop=T) +
geom_histogram(aes(y=(..count..)/tapply(..count..,..PANEL..,sum)[..PANEL..]))
I stole this from this question
I feel your question might be a duplicate of that one by the way.
来源：https://stackoverflow.com/questions/16339204/normalizing-faceted-histograms-separately-in-ggplot2