Reputation: 169
I've generated a scatterplot with marginal histograms on the x and y axes, using this extremely helpful answer from @ClausWilke (reproduced below).
library(cowplot)
# Main plot
pmain <- ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width, color = Species))+
geom_point()+
ggpubr::color_palette("jco")+
theme(legend.position = c(0.8, 0.8))
# Marginal densities along x axis
xdens <- axis_canvas(pmain, axis = "x")+
geom_boxplot(data = iris, aes(x = Sepal.Length, fill = Species),
alpha = 0.7, size = 0.2)+
ggpubr::fill_palette("jco")
# Marginal densities along y axis
# Need to set coord_flip = TRUE, if you plan to use coord_flip()
ydens <- axis_canvas(pmain, axis = "y", coord_flip = TRUE)+
geom_boxplot(data = iris, aes(x = Sepal.Width, fill = Species),
alpha = 0.7, size = 0.2)+
coord_flip()+
ggpubr::fill_palette("jco")
p1 <- insert_xaxis_grob(pmain, xdens, grid::unit(.2, "null"), position = "top")
p2<- insert_yaxis_grob(p1, ydens, grid::unit(.2, "null"), position = "right")
ggdraw(p2)
This works great, but my next challenge is to use this graph as a panel in a figure, with another graph - a geom_bar plot - situated to the right. I can use plot_grid to arrange these side by side and have the x-axis aligned nicely, but I would like the height of this geom_bar chart to match only the height of the scatterplot (pmain
) within the previous figure p2
, instead of reaching the height of the top of the x-axis histogram in p2
.
A couple of other things that would really help me out...
My full attempt below...
library(cowplot)
# Main plot
pmain <- ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width, color = Species))+
geom_point()+
ggpubr::color_palette("jco")+
theme(legend.position = c(0.8, 0.8))
# Marginal densities along x axis
xdens <- axis_canvas(pmain, axis = "x")+
geom_boxplot(data = iris, aes(x = Sepal.Length, fill = Species),
alpha = 0.7, size = 0.2)+
ggpubr::fill_palette("jco")
# Marginal densities along y axis
# Need to set coord_flip = TRUE, if you plan to use coord_flip()
ydens <- axis_canvas(pmain, axis = "y", coord_flip = TRUE)+
geom_boxplot(data = iris, aes(x = Sepal.Width, fill = Species),
alpha = 0.7, size = 0.2)+
coord_flip()+
ggpubr::fill_palette("jco")
p1 <- insert_xaxis_grob(pmain, xdens, grid::unit(.2, "null"), position = "top")
p2<- insert_yaxis_grob(p1, ydens, grid::unit(.2, "null"), position = "right")
ggdraw(p2)
# generate a separate bar chart to go alongside
petal.bar <- ggplot(data=iris, aes(y=Petal.Width, x=Species, fill = Species))+
geom_bar(stat="summary", fun="mean", position = "dodge")+
theme(axis.text.x = element_blank(),
legend.position = "none")+
geom_point()+
ggpubr::fill_palette("jco")
# place bar chart to the right
plot_grid(p2, petal.bar, align = "h", axis = "b", nrow = 1, rel_widths = c(1, 0.6))
Any help would be greatly appreciated - thank you!
Upvotes: 1
Views: 400
Reputation: 12729
You could:
element_blank
to axis.text.x = element_text(colour = "white")
so axis text is the same colour as the plot background so not visible, forcing the axis label to be on the vertical position as the main plot.NULL
in the call to plot_grid
grid::nullGrob
to make the right hand side plot panel the same height as the main plot panel.library(ggplot2)
library(cowplot)
# Main plot
pmain <- ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width, color = Species))+
geom_point()+
ggpubr::color_palette("jco")+
theme(legend.position = c(0.8, 0.8))
# Marginal densities along x axis
xdens <- axis_canvas(pmain, axis = "x")+
geom_boxplot(data = iris, aes(x = Sepal.Length, fill = Species),
alpha = 0.7, size = 0.2)+
ggpubr::fill_palette("jco")
# Marginal densities along y axis
# Need to set coord_flip = TRUE, if you plan to use coord_flip()
ydens <- axis_canvas(pmain, axis = "y", coord_flip = TRUE)+
geom_boxplot(data = iris, aes(x = Sepal.Width, fill = Species),
alpha = 0.7, size = 0.2)+
coord_flip()+
ggpubr::fill_palette("jco")
p1 <- insert_xaxis_grob(pmain, xdens, grid::unit(.2, "null"), position = "top")
p2<- insert_yaxis_grob(p1, ydens, grid::unit(.2, "null"), position = "right")
# ggdraw(p2)
# generate a separate bar chart to go alongside
petal.bar <- ggplot(data=iris, aes(y=Petal.Width, x=Species, fill = Species))+
geom_bar(stat="summary", fun="mean", position = "dodge")+
theme(axis.text.x = element_text(colour = "white"),
legend.position = "none")+
geom_point()+
ggpubr::fill_palette("jco")
p3 <- insert_xaxis_grob(petal.bar, grid::nullGrob(), grid::unit(.2, "null"), position = "top")
# place bar chart to the right
plot_grid(p2, NULL, p3, align = "h", axis = "b", nrow = 1, ncol = 3, rel_widths = c(1, 0.1, 0.6))
Created on 2022-01-20 by the reprex package (v2.0.1)
Upvotes: 1