How to reverse axis order and use a predefined scale in ggplot?

ggplot2, r

Solution

Arguments in `scale_(x|y)_reverse()` are passed to `scale_(x|y)_continuous()` so you should simply do:

scale_x_reverse(trans='probit', breaks = ybreaks, minor_breaks=qnorm(ybreaks))

Problem

I've read a past post asking about using `scale_reverse` and `scale_log10` at the same time. I have a similar issue, except my scale I'm seeking to "reverse" is a pre-defined scale in the "scales" package. Here is my code: ``` ##Defining y-breaks for probability scale ybreaks <- c(1,2,5,10,20,30,40,50,60,70,80,90,95,98,99)/100 #Random numbers, and their corresponding weibull probability valeus (which I'm trying to plot) x <- c(.3637, .1145, .8387, .9521, .330, .375, .139, .662, .824, .899) p <- c(.647, .941, .255, .059, .745, .549, .853, .451, .352, .157) df <- data.frame(x, p) require(scales) require(ggplot2) ggplot(df)+ geom_point(aes(x=x, y=p, size=2))+ stat_smooth(method="lm", se=FALSE, linetype="dashed", aes(x=x, y=p))+ scale_x_continuous(trans='probit', breaks=ybreaks, minor_breaks=qnorm(ybreaks))+ scale_y_log10() ``` Resulting plot: For more information, the scale I'm trying to achieve is the probability plotting scale, which has finer resolution on either end of the scale (at 0 and 1) to show extreme events, with ever-decreasing resolution toward the median value (0.5). I want to be able to use `scale_x_reverse` concurrently with my `scale_x_continuous` probability scale, but I don't know how to build that in any sort of custom scale. Any guidance on this?

Original source

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