I wish to align a 3-y-axis plot with a 2-y-axis plot so that x-axis' lengths would be identical.
But, owing to the third axis of the first plot, x-axis' lengths are different among plots.
library(ggplot2)
library(grid)
library(patchwork)
My data :
data_1 <- data.frame(x = c(1,2,3,4),
y1 = c(5,8,1,6),
y2 = c(90,40,70,50),
y3 = c(600,800,900,1000))
data_2 <- data.frame(x = c(1,2,3,4),
y1 = c(9,4,2,1),
y2 = c(45,70,20,10))
My first plot (done with data_1) :
plot_1a <- ggplot(data = data_1, aes(x = x)) +
geom_line(aes(y = y1, color = "y1")) +
scale_y_continuous(sec.axis = sec_axis(trans = ~ ./ 0.09, name = "y2")) +
geom_line(aes(y = y2 * 0.09, color = "y2")) +
geom_line(aes(y = y3 * 0.008, color = "y3")) +
scale_color_manual(values = c("y1" = "red", "y2" = "green", "y3" = "blue")) +
guides(colour = FALSE) +
theme(axis.text.y.left = element_text(color = "red"),
axis.ticks.y.left = element_line(color = "red"),
axis.line.y.left = element_line(color = "red"),
axis.title.y.left = element_text(color = "red"),
axis.text.y.right = element_text(color = "green"),
axis.ticks.y.right = element_line(color = "green"),
axis.line.y.right = element_line(color = "green"),
axis.title.y.right = element_text(color = "green"))
plot_1b <- ggplot(data = data_1, aes(x = x)) +
scale_y_continuous(sec.axis = sec_axis(trans = ~ . / 0.008, name = "y3")) +
labs(x = "", y = "") +
theme(axis.text.y.right = element_text(color = "blue"),
axis.ticks.y.right = element_line(color = "blue"),
axis.line.y.right = element_line(color = "blue"),
axis.title.y.right = element_text(color = "blue") ,
axis.text.y.left = element_blank(),
axis.line.y.left = element_blank(),
axis.ticks.y.left = element_blank(),
axis.line.x = element_blank(),
axis.text.x = element_blank(),
axis.ticks.x = element_blank(),
panel.background = element_blank(),
plot.margin = margin(1, 0, 1, 1, "mm"))
plot_1 <- plot_1a + plot_1b + plot_layout(ncol = 2, widths = c(1,1e-3))
My second plot (done with data_2):
plot_2 <- ggplot(data = data_2, aes(x = x)) +
geom_line(aes(y = y1, color = "y1")) +
scale_y_continuous(sec.axis = sec_axis(trans = ~ ./ 0.09, name = "y2")) +
geom_line(aes(y = y2 * 0.09, color = "y2")) +
scale_color_manual(values = c("y1" = "red", "y2" = "green")) +
guides(colour = FALSE) +
theme(axis.text.y.left = element_text(color = "red"),
axis.ticks.y.left = element_line(color = "red"),
axis.line.y.left = element_line(color = "red"),
axis.title.y.left = element_text(color = "red"),
axis.text.y.right = element_text(color = "green"),
axis.ticks.y.right = element_line(color = "green"),
axis.line.y.right = element_line(color = "green"),
axis.title.y.right = element_text(color = "green"))
I wish to align them vertically. So I do :
vplayout <- function(x, y) viewport(layout.pos.row = x, layout.pos.col = y)
grid.newpage()
pushViewport(viewport(layout = grid.layout(2, 1)))
print(plot_1, vp = vplayout(1, 1))
print(plot_2, vp = vplayout(2, 1))
But it returns me both plots that are not aligned as I want. I want the red and green y-axis vertically aligned (i.e. x-axis' lengths are identical).
You may want to consider submitting a feature request to the maintainers of patchwork
asking for the ability to lay things out in nxn grids. I played around with it since it would be the simplest solution but it doesn't seem possible.
Here is one solution using grid.arrange
from gridExtra
and ggplotGrob
from ggplot2
:
library(gridExtra)
p <- rbind(ggplotGrob(plot_1a), ggplotGrob(plot_2), size="last")
q <- ggplotGrob(plot_1b)
q$heights <- p$heights
grid.arrange(p,q,widths=c(8,1))
Adjust widths
in grid.arrange
as desired.