I have the following dummy data and plots:
library(ggplot2)
library(patchwork)
test_data <- data.frame(sample = c("sample1_long_label","sample2","sam3","sample4_long_labels_are_annoying"),
var1 = c(20,24,19,21),
var2 = c(4000, 3890, 4020, 3760))
p1 <- ggplot(test_data, aes(var1, sample)) +
geom_col() +
scale_x_reverse() +
theme(axis.text.y = element_blank(),
axis.ticks.y = element_blank(),
axis.title.y = element_blank())
p2 <- ggplot(test_data, aes(var2, sample)) +
geom_col() +
theme(axis.title.y = element_blank(),
axis.ticks.y = element_blank())
p1 + p2
This creates a plot that looks like this:
Now, the y-axis labels are right-aligned to the right plot (they have been removed in the left plot). I would like the y-axis labels to be center-aligned between the two plots. Is this possible? If not, any other method that will create a similar plot is welcome.
Edit: I forgot to mention that the labels may be of different lengths, and have adjusted the test data. Is it possible to make the whole label visible in the center while center-adjusting the text?
I think it might be easiest to control the spacing through the y-axis text margin, and discard any other margins or spacing. To do this:
Set the right margin of the left plot to 0
Set the left margin of the right plot to 0
Set the tick length of the right plot to 0. Even though these are blank, still space is reserved for them.
Set the right and left margins of the axis text of the right plot.
In the code below, 5.5 points is the default margin space, but feel free to adjust that to personal taste.
library(ggplot2)
library(patchwork)
test_data <- data.frame(sample = c("sample1","sample2","sample3","sample4"),
var1 = c(20,24,19,21),
var2 = c(4000, 3890, 4020, 3760))
p1 <- ggplot(test_data, aes(var1, sample)) +
geom_col() +
scale_x_reverse() +
theme(axis.text.y = element_blank(),
axis.ticks.y = element_blank(),
axis.title.y = element_blank(),
plot.margin = margin(5.5, 0, 5.5, 5.5))
p2 <- ggplot(test_data, aes(var2, sample)) +
geom_col() +
theme(axis.title.y = element_blank(),
axis.ticks.y = element_blank(),
axis.ticks.length = unit(0, "pt"),
plot.margin = margin(5.5, 5.5, 5.5, 0),
axis.text.y.left = element_text(margin = margin(0, 5.5, 0, 5.5)))
p1 + p2
Created on 2022-01-31 by the reprex package (v2.0.1)
EDIT: To center align labels with various lengths, you can use hjust as per usual: axis.text.y.left = element_text(margin = margin(0, 5.5, 0, 5.5), hjust = 0.5).
A second option would be to add the axis labels via a third plot:
library(ggplot2)
library(patchwork)
test_data <- data.frame(sample = c("sample1","sample2","sample3","sample4"),
var1 = c(20,24,19,21),
var2 = c(4000, 3890, 4020, 3760))
p1 <- ggplot(test_data, aes(var1, sample)) +
geom_col() +
scale_x_reverse() +
theme(axis.text.y = element_blank(),
axis.ticks.y = element_blank(),
axis.title.y = element_blank())
p2 <- ggplot(test_data, aes(var2, sample)) +
geom_col() +
theme(axis.text.y = element_blank(),
axis.title.y = element_blank(),
axis.ticks.y = element_blank())
p3 <- ggplot(test_data, aes(1, sample)) +
geom_text(aes(label = sample)) +
scale_x_reverse() +
theme_void()
p1 + p3 + p2 +
plot_layout(widths = c(4, 1, 4))
Related
guides = "collect" does its job but it locates the legend in a way that it overlaps the plot. I would like it to be placed right in the middle of the empty bottom right corner, but it appears to be difficult since theme(legend.position = c(X,Y)) does not work with patchwork
Illustration of the issue:
This is the code I have for assembling 4 graphs I have using patchwork. Pretty sure there is a more elegant way to use theme() but I am quite new to patchwork and it worked for me so far, except for the legend positioning.
A similar issue was resolved here but it does not seem to help in my case.
#first panel
s_wpanels_final <- (dots & theme_bw() & theme(axis.title.x =
element_blank(), panel.grid.minor.y = element_blank())) +
#second panel
(g_box_tmax & theme_bw() & theme(axis.text.x=element_blank(),
axis.ticks.x=element_blank(), panel.grid.minor.y = element_blank(),
axis.text.y=element_blank(), axis.ticks.y=element_blank(),
axis.title.x = element_blank(), legend.position = "none")) +
#third panel
(g_box_t0 & theme_bw() & theme(axis.text.x=element_blank(),
axis.ticks.x=element_blank(), panel.grid.minor.y = element_blank(),
axis.text.y=element_blank(), axis.ticks.y=element_blank(),
axis.title.x = element_blank(), legend.position = "none")) +
#fourth panel
(tmax_box & theme_bw() & theme(axis.text.x=element_blank(),
axis.ticks.x=element_blank(), axis.text.y=element_blank(),
axis.ticks.y=element_blank(), axis.title.y = element_blank(),
legend.position = "none")) +
guide_area()+
plot_layout(ncol=3, guides = "collect", widths=c(6,1,1), heights=c(6,1)) &
theme(legend.direction = "vertical", legend.box = "horizontal")
There are two issues with your code. First using + to glue your plots together and setting ncol=3 will place the guide_area in the second column of the second row. To center the legend I would suggest to use the design argument to specify the layout of the plot. Second, while the plot panels will adjust to the space set via the height and width arguments and the size of your plotting device, the legend will not, i.e. if the legend will not fit into the space given it will overlap with the surrounding panels. To fix that I would suggest to increase the widths of the second and third columns and the height of the second row. But as I said this also depends on the size of the plotting device.
Using some fake example plot based on mtcars(see below) let's first reproduce your issue:
library(ggplot2)
library(patchwork)
list(
dots,
g_box_tmax,
g_box_t0,
tmax_box,
guide_area()
) |>
wrap_plots() +
plot_layout(guides = "collect", widths = c(6, 1, 1), heights = c(6, 1), ncol = 3) &
theme(legend.direction = "vertical", legend.box = "horizontal")
However, specifying the layout via the design argument and increasing the height of the second row as well as the widths of the second and third columns works fine and centers the legend in the guide area:
design <-
"
ABC
DEE
"
list(
dots,
g_box_tmax,
g_box_t0,
tmax_box,
guide_area()
) |>
wrap_plots() +
plot_layout(guides = "collect", widths = c(6, 1.5, 1.5), heights = c(6, 1.5), design = design) &
theme(legend.direction = "vertical", legend.box = "horizontal")
PLOTS
dots <- ggplot(mtcars, aes(mpg, hp, color = factor(cyl), size = qsec)) +
geom_point() +
theme_bw() +
theme(
axis.title.x = element_blank(),
panel.grid.minor.y = element_blank()
)
g_box_tmax <- g_box_t0 <- ggplot(mtcars, aes(factor(cyl), hp, fill = factor(cyl))) +
geom_boxplot() +
theme_bw() +
theme(
axis.text.x = element_blank(),
axis.ticks.x = element_blank(), panel.grid.minor.y = element_blank(),
axis.text.y = element_blank(), axis.ticks.y = element_blank(),
axis.title.x = element_blank(), legend.position = "none"
)
tmax_box <- ggplot(mtcars, aes(mpg, factor(cyl), fill = factor(cyl))) +
geom_boxplot() +
theme_bw() +
theme(
axis.text.x = element_blank(),
axis.ticks.x = element_blank(), axis.text.y = element_blank(),
axis.ticks.y = element_blank(), axis.title.y = element_blank(),
legend.position = "none"
)
What causes the legend box (which is too big for the plot dimension) to be positioned there, is probably some quite clever patchwork code, and is related to guide_area (therefore my question title edit).
The below is a slightly unsatisfactory, but effective hack to modify the position. It's a bit of a trial and error. Simply give a negative margin to the legend box to the right and it will "drag" the box accordingly.
I've removed all the legend.position = "none" from your plots as this is not necessary with guides = "collect"
library(ggplot2)
library(patchwork)
p1 <- ggplot(iris) + geom_point(aes(Sepal.Length, Sepal.Width, color = Species, size = Petal.Length))
p2 <- ggplot(iris) + geom_point(aes(Sepal.Length, Sepal.Width, color = Species, size = Petal.Length))
p3 <- ggplot(iris) + geom_point(aes(Sepal.Length, Sepal.Width, color = Species, size = Petal.Length))
p4 <- ggplot(iris) + geom_point(aes(Sepal.Length, Sepal.Width, color = Species, size = Petal.Length))
p1 + p2 + p3 + p4 +
guide_area()+
plot_layout(ncol=3, guides = "collect", widths=c(6,1,1), heights=c(6,1)) &
theme(legend.direction = "vertical", legend.box = "horizontal",
legend.box.margin = margin(r = -1, unit = "in"))
I'm doing an arrangement of 2x2 plots. The plots share the same axis, so I want to put them together, e.g.
This code:
library(ggplot2)
library(cowplot)
Value <- seq(0,1000, by = 1000/10)
Index <- 0:10
DF <- data.frame(Index, Value)
plot <- ggplot(DF, aes(x = Index, y = Value)) +
geom_line(linetype = 2) +
theme(aspect.ratio = 0.5)
plot_grid(plot, plot, plot, plot, align = "hv", ncol = 2)
produces
But I'd like something like:
How can I achieve a similar result?
I think this is a case for the ggarrange() function from the egg package. Doing this with plot_grid() would require endless fiddling and isn't worth it.
(The technical reason is that plot_grid() keeps the total area for each plot in the grid constant, but if some plots have an x axis and others don’t then they take up different areas. One could try to circumvent this by using the rel_heights argument but there’s no good way to calculate the correct values for rel_heights, so it would be trial and error. By contrast, ggarrange() separately looks at the plot panel and the surrounding elements and makes sure the plot panels have the same size.)
Here is the code using ggarrange():
Value <- seq(0,1000, by = 1000/10)
Index <- 0:10
DF <- data.frame(Index, Value)
pbase <- ggplot(DF, aes(x = Index, y = Value)) +
geom_line(linetype = 2) +
theme_bw()
ptopleft <- pbase +
scale_x_continuous(position = "top") +
theme(plot.margin = margin(5.5, 0, 0, 5.5),
axis.title.x = element_blank(),
axis.text.x = element_blank(),
axis.ticks.x = element_blank())
ptopright <- pbase +
scale_y_continuous(position = "right") +
scale_x_continuous(position = "top") +
theme(plot.margin = margin(5.5, 5.5, 0, 0),
axis.title.x = element_blank(),
axis.text.x = element_blank(),
axis.ticks.x = element_blank())
pbottomleft <- pbase +
theme(plot.margin = margin(0, 0, 5.5, 5.5))
pbottomright <- pbase +
scale_y_continuous(position = "right") +
theme(plot.margin = margin(0, 5.5, 5.5, 0))
library(egg)
ggarrange(ptopleft, ptopright,
pbottomleft, pbottomright,
ncol = 2)
Two comments:
To remove every last bit of space below the plot panel on the top plots, we need to move the x axis to the top, even though we're not showing it. This is a strange limitation of the theming mechanism. We can't fully get rid of just one axis.
I'm not a big fan of shared axis titles, as in your example. I think each axis should have a title. If you want shared axis titles, why not use the faceting mechanism?
You can set subtle plot.margin each plot, then grid.arrange and add labs.
library(ggplot2)
library(grid)
library(gridExtra)
Value <- seq(0,1000, by = 1000/10)
Index <- 0:10
DF <- data.frame(Index, Value)
plot1 <- ggplot(DF, aes(x = Index, y = Value)) +
geom_line(linetype = 2) +
theme_minimal() +
theme(aspect.ratio = 0.5,
panel.border = element_rect(fill = NA),
axis.text.x = element_blank(),
axis.title = element_blank(),
axis.ticks = element_blank(),
plot.margin = unit(c(5.5, 5.8, -50, 5.5), "pt"))
plot2 <- ggplot(DF, aes(x = Index, y = Value)) +
geom_line(linetype = 2) +
theme_minimal() +
theme(aspect.ratio = 0.5,
panel.border = element_rect(fill = NA),
axis.text.x = element_blank(),
axis.title = element_blank(),
axis.ticks = element_blank(),
plot.margin = unit(c(5.5, 5.5, -50, 5.5), "pt")) +
scale_y_continuous(position = "right")
plot3 <- ggplot(DF, aes(x = Index, y = Value)) +
geom_line(linetype = 2) +
theme_minimal() +
theme(aspect.ratio = 0.5,
panel.border = element_rect(fill = NA),
axis.title = element_blank(),
axis.ticks = element_blank(),
plot.margin = unit(c(-50, 5.8, -50, 5.5), "pt"))
plot4 <- ggplot(DF, aes(x = Index, y = Value)) +
geom_line(linetype = 2) +
theme_minimal() +
theme(aspect.ratio = 0.5,
panel.border = element_rect(fill = NA),
axis.title = element_blank(),
axis.ticks = element_blank(),
plot.margin = unit(c(-50, 5.5, -50, 5.5), "pt")) +
scale_y_continuous(position = "right")
grid.arrange(grobs = list(plot1, plot2, plot3, plot4), ncol = 2, bottom = 'Index', left = 'Value', right = 'Value')
final plot
I'd like to arrange two facet plots using ggarrange (in order to get x axes aligned).
library(egg)
library(ggplot2)
p1 <- ggplot(warpbreaks) +
geom_bar(aes(x = wool)) +
facet_wrap(~tension, ncol = 2, scales = "free_x") +
theme_bw() +
theme(axis.line = element_line(colour = "black", size = .1),
panel.border = element_blank(),
strip.background = element_blank())
p2 <- ggplot(warpbreaks) +
geom_bar(aes(x = tension)) +
facet_wrap(~wool) +
theme_bw() +
theme(axis.line = element_line(colour = "black", size = .1),
panel.border = element_blank(),
strip.background = element_blank())
ggarrange(p1, p2, ncol = 2)
Works great, but unfortunately the vertical axis lines disappeared. This does not happen when using grid.arrange, but at least for my real data there the x axes are not aligned, hence my wish to use ggarrange. Is there a way to keep the axis lines?
tl;dr: setting panel.background = element_blank() should restore the axes.
I think it's a combination of a clipping issue in ggplot2 (the y axis line can be clipped by the plot panel, cutting its width in half), and egg::gtable_frame placing the axis below the plot panel.
library(egg)
library(ggplot2)
p1 <- ggplot(warpbreaks) +
geom_bar(aes(x = wool)) +
facet_wrap(~tension, ncol = 2, scales = "free_x") +
theme_bw() +
theme(axis.line = element_line(colour = alpha("red", 0.5), size = 5),
panel.border = element_blank(),
panel.background = element_rect(fill = alpha("white", 0.5),
linetype = 2, colour = "black"),
strip.background = element_blank())
p1
g1 <- ggplotGrob(p1)
gg <- gtable_frame(g1)
grid.newpage()
grid.draw(gg)
I am creating some maps and want to remove all margins between the plot region and panel border.
This is the minimal example to reproduce my question
library(ggplot2)
library(grid)
df <- expand.grid(list(x = seq(1, 10), y = seq(1, 10), z = seq(1, 2)))
p <- ggplot(df) + geom_tile(aes(x, y)) + facet_wrap(~z)
p <- p + theme_minimal() + xlab('') + ylab('')
p <- p + theme(axis.text = element_blank(),
panel.grid = element_blank(),
axis.ticks = element_blank(),
panel.border = element_rect(colour = 'black', fill = 'transparent'),
panel.margin = unit(0, 'mm'))
p + ylim(2, 6) + xlim(2, 6)
This is the result of my codes.
How could I remove all white areas in the figure above? Thanks for any suggestions.
(Alright, here's my comment as an answer..)
Just add the following to the plot:
+ scale_y_continuous(expand = c(0,0)) + scale_x_continuous(expand = c(0,0))
I'm working with some data that I want to display as a nxn grid of plots. Edit: To be more clear, there's 21 categories in my data. I want to facet by category, and have those 21 plots in a 5 x 5 square grid (where the orphan is by itself on the fifth row). Thus facet_wrap instead of facet_grid.
I've got the following code written up for doing it (using the good old iris data set for my reproducible example):
library(ggplot2)
library(grid)
cust_theme <- theme_bw() + theme(legend.position="none",
axis.title = element_blank(), axis.ticks = element_blank(),
axis.text = element_blank(), strip.text = element_blank(),
strip.background = element_blank(), panel.margin = unit(0, "lines"),
panel.border = element_rect(size = 0.25, color = "black"),
panel.grid = element_blank())
iris.plot <- ggplot(data = iris, aes(x = Sepal.Length, y = Sepal.Width, color = Species)) +
geom_point() + cust_theme + facet_wrap( ~ Species, ncol = 2) +
labs(title = "Irises by species")
This gives me ALMOST what I want, but not quite:
I've still got a tiny strip of space between the top row of plots and the bottom row. I'd like to get rid of that entirely, but panel.margin is obviously not doing it. Is there a way to do this?
This might be a little late, but panel.marginis now deprecated. Inside theme use panel.spacing. To eliminate the spacing between the facets then load the grid package and use panel.spacing = unit(0, "lines")
Change the panel.margin argument to panel.margin = unit(c(-0.5,0-0.5,0), "lines"). For some reason the top and bottom margins need to be negative to line up perfectly. Here is the result:
You can also edit the grobs directly:
library(ggplot2)
library(grid)
g <- ggplot(data = iris, aes(x = Sepal.Length, y = Sepal.Width, color = Species)) +
geom_point() +
facet_wrap( ~ Species, ncol = 2) +
labs(title = "Irises by species") +
theme_bw() +
theme(panel.margin = unit(0, "lines")) +
theme(plot.margin = unit(c(0,0,0,0), "lines")) +
theme(strip.background = element_blank()) +
theme(plot.background = element_blank()) +
theme(strip.text = element_blank()) +
theme(axis.ticks.margin = unit(0, "lines"))
g <- ggplotGrob(p)
g$heights[[7]] = unit(0, "lines")
grid.newpage()
grid.draw(g)