I am trying to combine two FACETED ggplot objects with coord_equal()
using cowplot::plot_grid()
or egg::ggarrange()
and vertically align them.
The egg::ggarrange()
approach works fine for UNFACETED plots, with the solution posted here.
However, the egg::ggarrange()
solution breaks down when faceting is included. The plots are correctly aligned, but the units of the y-axes are twice as large as those of the x-axes. Any suggestions for how to generalize this for faceting?
dat1 <- data.frame(x = rep(1:10, 2), y = 1:20, z = rep(c("A", "B"), 10))
dat2 <- data.frame(x = 1:10, y = 1:10, z = rep(c("A", "B"), 5))
plot1 <- ggplot(dat1, aes(x=x, y=y)) +
geom_point() + coord_equal() + facet_wrap(~z)
plot2 <- ggplot(dat2, aes(x=x, y=y)) +
geom_point() + coord_equal() + facet_wrap(~z)
egg::ggarrange(plot1, plot2, ncol = 1)
it seems to be a simple fix,
library(egg)
b <- body(gtable_frame)
b[6] <- parse(text="if (fixed_ar) {
ar <- as.numeric(g$heights[tt[1]]) / as.numeric(g$widths[ll[1]])
height <- width * (ar / length(ll))
g$respect <- FALSE
}")
body(gtable_frame) <- b
assignInNamespace("gtable_frame", gtable_frame, ns = 'egg')
The main problem is that plot1
and plot2
have different aspect ratios.
This is plot1
:
And this plot2
:
You can try to keep the aspect ratio using, i.e. theme(aspect.ratio=1)
instead of coord_equal()
:
require(ggplot2)
dat1 <- data.frame(x = rep(1:10, 2), y = 1:20, z = rep(c("A", "B"), 10))
dat2 <- data.frame(x = 1:10, y = 1:10, z = rep(c("A", "B"), 5))
plot1 <- ggplot(dat1, aes(x=x, y=y)) + geom_point() + theme(aspect.ratio=1)+
facet_wrap(~z)
plot2 <- ggplot(dat2, aes(x=x, y=y)) + geom_point() + theme(aspect.ratio=1)+
facet_wrap(~z)
egg::ggarrange(plot1, plot2, ncol = 1,heights = c(1,10))
Hope it serves.