I want to plot a boxplot using ggplot2, and i have more than one facet, each facet has different terms, as follows:
library(ggplot2)
p <- ggplot(
d
While u/z-lin's answer works, there is a far simpler solution. Switch from facet_wrap(...)
to use facet_grid(...)
. With facet_grid
, you don't need to specify rows and columns. You are still able to specify scales=
(which allows automatic adjustment of axis scales for each facet if wanted), but you can also specify space=
, which does the same thing, but with the scaling of the overall facet width. This is what you want. Your function call is now something like this:
ggplot(Data, aes(x = trait, y = mean)) +
geom_boxplot(aes(
fill = Ref, lower = mean-sd, upper = mean+sd, middle = mean,
ymin = min, ymax = max),
lwd = 0.5, stat = "identity") +
facet_grid(. ~ SP, scales = "free", space='free') +
scale_x_discrete(expand = c(0, 0.5)) +
theme_bw()
Some more description of layout of facets can be found here.
As @cdtip mentioned, this does not allow for independent y scales for each facet, which is what the OP asked for initially. Luckily, there is also a simple solution for this, which utilizes facet_row()
from the ggforce
package:
library(ggforce)
# same as above without facet_grid call..
p <- ggplot(Data, aes(x = trait, y = mean)) +
geom_boxplot(aes(
fill = Ref, lower = mean-sd, upper = mean+sd, middle = mean,
ymin = min, ymax = max),
lwd = 0.5, stat = "identity") +
scale_x_discrete(expand = c(0, 0.5)) +
theme_bw()
p + ggforce::facet_row(vars(SP), scales = 'free', space = 'free')