I want to create a histogram from a number of observations (i.e. d <- c(1,2.1,3.4,4.5) ) and then highlight the bin that a particular observation falls in, such that I have an output that looks like this:
how do I do this in R?
I want to create a histogram from a number of observations (i.e. d <- c(1,2.1,3.4,4.5) ) and then highlight the bin that a particular observation falls in, such that I have an output that looks like this:
how do I do this in R?
x = rnorm(100)
hist(x,br=10,col=c(rep(0,9),1))
Clearly this will color the last column so tweak the col= bit for your needs
Thanks
dangerstat
I was trying to do this with ggplot2, and was not able to come up with a perfect answer. you can do
dat<-data.frame(val=rnorm(100))
ggplot(data=dat,aes(x=val)) +
geom_histogram(aes(fill=..count..==..count..[2]),binwidth=1)
but this breaks if multiple bins have the same count. any ideas?
Expanding on dangerstat's answer, here is a little function that will automatically find which bin contains the value that you want to highlight:
highlight <- function(x, value, col.value, col=NA, ...){
hst <- hist(x, ...)
idx <- findInterval(value, hst$breaks)
cols <- rep(col, length(hst$counts))
cols[idx] <- col.value
hist(x, col=cols, ...)
}
Now
x <- rnorm(100)
highlight(x, 1.2, "red")
will highlight the bin with 1.2 in it in red.