I'm trying to produce a histogram with ggplot'
s geom_histogram
which colors the bars according to a gradient, and log10's them.
Here's the code:
library(ggplot2)
set.seed(1)
df <- data.frame(id=paste("ID",1:1000,sep="."),val=rnorm(1000),stringsAsFactors=F)
bins <- 10
cols <- c("darkblue","darkred")
colGradient <- colorRampPalette(cols)
cut.cols <- colGradient(bins)
df$cut <- cut(df$val,bins)
df$cut <- factor(df$cut,level=unique(df$cut))
Then,
ggplot(data=df,aes_string(x="val",y="..count..+1",fill="cut"))+
geom_histogram(show.legend=FALSE)+
scale_color_manual(values=cut.cols,labels=levels(df$cut))+
scale_fill_manual(values=cut.cols,labels=levels(df$cut))+
scale_y_log10()
whereas dropping the fill
from the aesthetics
:
ggplot(data=df,aes_string(x="val",y="..count..+1"))+
geom_histogram(show.legend=FALSE)+
scale_color_manual(values=cut.cols,labels=levels(cuts))+
scale_fill_manual(values=cut.cols,labels=levels(cuts))+
scale_y_log10()
Any idea why do the histogram bars differ between the two plots and to make the first one similar to the second one?