Histogram with “negative” logarithmic scale in R

Question

I have a dataset with some outliers, such as the following

x <- rnorm(1000,0,20)
x <- c(x, 500, -500)

If we plot this on a linear x a

Answer 1

I am not sure I understand your goal, but when you want a log-like transformation yet have zeroes or negative values, the inverse hyperbolic sine transformation asinh() is often a good option. It is log-like for large values and is defined for all real values. See Rob Hyndman's blog and this question on stats.stackexchange.com for discussion, details, and other options.

If this is an acceptable approach, you can create a custom scale for ggplot. The code below demonstrates how to create and use a custom scale (with custom breaks), along with a visualization of the asinh() transformation.

library(ggplot2)
library(scales)

limits <- 100
step <- 0.005
demo <- data.frame(x=seq(from=-1*limits,to=limits,by=step))

asinh_trans <- function(){
  trans_new(name = 'asinh', transform = function(x) asinh(x), 
            inverse = function(x) sinh(x))
}

ggplot(demo,aes(x,x))+geom_point(size=2)+
     scale_y_continuous(trans = 'asinh',breaks=c(-100,-50,-10,-1,0,1,10,50,100))+
     theme_bw()

ggplot(demo,aes(x,x))+geom_point(size=2)+
     scale_x_continuous(trans = 'asinh',breaks=c(0,1,10,50,100))+
     scale_y_log10(breaks=c(0,1,10,50,100))+ # zero won't plot
     xlab("asinh() scale")+ylab("log10 scale")+
     theme_bw()