'Force ggplot2 scatter plot to be square shaped
I can force ggplot2 scatter plot to be square shaped with the same x and y scaling using xlim() and ylim(), but it needs manual calculation of the limits. Is there any more convenient way of doing it?
By square shape I mean two requirements:
- The same scale on x and y axis.
- The equal length of x and y axis.
Solution 1:[1]
If you want to make the distance scale points the same, then use coord_fixed():
p <- ggplot(...)
p <- p + coord_fixed() # ratio parameter defaults to 1 i.e. y / x = 1
If you want to ensure that the resulting plot is square then you would also need to specify the x and y limits to be the same (or at least have the same range). xlim and ylim are both arguments to coord_fixed. So you could do this manually using those arguments. Or you could use a function to extract out limits from the data.
Solution 2:[2]
Solution 3:[3]
Probably the ugliest code you'll see today, but it does the trick.
The ranges of your x and y axes are accessible from ggplot_build:
r<-max(abs(ggplot_build(your_plot)$panel$ranges[[1]]$x.range))
s<-max(abs(ggplot_build(your_plot)$panel$ranges[[1]]$y.range))
t<-round(max(r,s),1)
your_plot<-your_plot+coord_equal(xlim=c(-t,t),ylim=c(-t,t))
Solution 4:[4]
All the solutions provided in the previous answers do not work for my R version: R version 3.6.1.
ggplot_build(pot)$panel$ranges[[1]]$x.range # return NULL value
The solution mentioned by @Gerhard Burger in the linked URL works for my case:
r<-max(abs(layer_scales(plt)$x$range$range))
s<-max(abs(layer_scales(plt)$y$range$range))
t<-round(max(r,s),1)
plt<-plt+coord_equal(xlim=c(0,t),ylim=c(0,t))
Solution 5:[5]
Building on Ramons answer, this function works nicely for me and I consider it not as ugly, since one can hide the function definition...
squarePlot <- function(plt){
return(plt+coord_equal()+
expand_limits(x=ggplot_build(plt)$panel$ranges[[1]]$y.range,
y=ggplot_build(plt)$panel$ranges[[1]]$x.range))
}
just wrapping Ramon's code in a function didn't work out for me because the t variable is defined in the "wrong" environment.
Solution 6:[6]
Although an older post, this is still a top hit on google for me.
This function in the tune package seems to accomplish this now:
p <-
mtcars %>%
ggplot(aes(drat, wt)) +
geom_abline(slope = 1, intercept = 0) +
geom_point()
p
p + tune::coord_obs_pred()
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Jeromy Anglim |
| Solution 2 | baptiste |
| Solution 3 | Benjamin W. |
| Solution 4 | Good Will |
| Solution 5 | Sven Stodtmann |
| Solution 6 | bryanL |



