I am trying to set titles to some ggplot2 charts, while leaving some without titles. Unfortunately, when title is set, the y axis and the plot shrink (see the plot on the right). I need to plot the title without changing the Y axis size, so that titled charts are on the same scale with the others (as in the middle plot).
grid.arrange(
(ggplot(mtcars, aes(mpg, hp)) + geom_point()),
(ggplot(mtcars, aes(mpg, hp)) + geom_point() +
geom_text(aes(22.5, 340, label="fake title", vjust = 1, hjust = .5, show_guide = FALSE))),
(ggplot(mtcars, aes(mpg, hp)) + geom_point() +
labs(title="real title")),
ncol=3)
I cannot use fake empty-string titles on the other plots, because I am short on space.
I could use the geom_text() method, if anyone can tell me how to make it look less garbled.
So, how do I removing any reserved space for the title above the plot, while still showing the plot title on and at the top of the plot area? The latter is done with theme(plot.title = element_text(vjust=-1)).)
Edit
Thanks to #baptiste for pointing out a more concise way to accomplish this. Given p1, p2, and p3 from below:
pl = lapply(list(p1,p2,p3), ggplotGrob)
grid.newpage()
grid.draw(do.call(cbind, c(pl, size="first")))
Original answer
You can build the ggplot grobs and standardize the heights parameter across plots:
p1 <- ggplot(mtcars, aes(mpg, hp)) + geom_point()
p2 <- ggplot(mtcars, aes(mpg, hp)) + geom_point() + labs(title="real title")
p3 <- ggplot(mtcars, aes(mpg, hp)) + geom_point() +
geom_text(aes(22.5, 340, label="fake title", vjust = 1, hjust = .5, show_guide = FALSE))
p1 <- ggplot_gtable(ggplot_build(p1))
p2 <- ggplot_gtable(ggplot_build(p2))
p3 <- ggplot_gtable(ggplot_build(p3))
p2$heights <- p1$heights
p3$heights <- p1$heights
grid.arrange(p1, p2, p3, ncol=3)
You can then use the title's vjust setting to move it off of the plot or further onto the plot, if you want:
p2 <- ggplot(mtcars, aes(mpg, hp)) + geom_point() +
labs(title="real title") +
theme(plot.title=element_text(vjust=-.3))
You should use annotate for this. If you use geom_text, it will print as many labels as there are rows in your data, hence the poor-looking overplotted label in your question. A painful work-around is to create a 1-row data frame to use as the data for the geom_text layer. However, annotate is intended for this sort of thing so you don't need a work-around. Something like:
annotate(geom = "text", x = 22.5, y = 340, label="fake title")
is good practice. Annotate is also useful for adding single horizontal or vertical lines to a plot, or to highlight a region by drawing a rectangle around it.
Related
I have created a plot with many elements using ggplot and plot_layout. I want to add common x and y axes. I would like to use textGrob to keep a common look with other plots I created this way.
MWE
library(patchwork)
library(ggplot2)
library(grid)
library(gridExtra)
p1 <- ggplot(mtcars) +
geom_point(aes(mpg, disp, color = mpg)) +
ggtitle('Plot 1')
p2 <- ggplot(mtcars) +
geom_boxplot(aes(gear, disp, group = gear)) +
ggtitle('Plot 2')
p3 <- ggplot(mtcars) +
geom_point(aes(hp, wt, colour = mpg)) +
ggtitle('Plot 3')
design <- "
1111
223#
"
myplt <- (p1 + p2 + p3 + plot_layout(design=design, guides = "collect") &
theme(legend.position = 'right',
legend.direction = 'vertical'))
y.grob <- textGrob("My Y label",
gp=gpar(fontface="bold", fontsize=15), rot=90)
x.grob <- textGrob("My X label",
gp=gpar(fontface="bold", fontsize=15))
grid.arrange(arrangeGrob(myplt, left = y.grob, bottom = x.grob))
The above worked well for plots I arranged using plot_grid (i.e. adding the common labels). However, with the above I get either a blank plot with the correct labels, or with the MWE above the correct labels but only with Plot 3.
I also tried adding on
myplt
grid::grid.draw(grid::textGrob(y.grob))
grid::grid.draw(grid::textGrob(x.grob))
because of this answer, but that just put text[GRID text 26826] in the middle of my plot.
I did manage to get their other idea working, but the spacing was horrible and I couldn't get the font details to match what I have for other plots, so would prefer to find a solution using the textGrobs already created.
EDIT: The design had an extra row that was blank that I removed
To make grid.arrange work with a patch you have to convert it to a grob first using patchwork::patchworkGrob. Additionally there is no need for grid.arrange(arrangeGrob(...)). Just use grid.arrange:
grid.arrange(patchworkGrob(myplt), left = y.grob, bottom = x.grob)
I am arranging multiple plot using the patchwork package. One of the plots has the text arranged vertically, which pushes the x-axis label down (as it should), but when I combine with a second plot, the x-axis labels in both plots are moved down. I would like to keep the x-axis label of the second plot in its original position. Easier to explain with an example:
library(ggplot2)
library(patchwork)
# Toy data
mtcars2 <- mtcars[1:5, ]
mtcars2$mod <- row.names(mtcars2)
# make 2 plots
p1 <- ggplot(mtcars2, aes(mod, mpg)) +
geom_col() +
theme(axis.text.x = element_text(angle = 90, vjust = 0, hjust = 1))
p2 <- ggplot(mtcars2, aes(hp, disp)) +
geom_point()
# arrange plots next to each other
p1 + p2
But I want:
Is this possible? I'm not tied to patchwork and I tried gridExtra::grid.arrange() but that resized the plots instead.
Using library(cowplot), x axis of p2 will go down, not like your example, but i wish it help you. If you need to let location of x - axis in same position, please let me know.
Additional note from #phalteman
By adding , align = "h", axis = "b" in plot_grid, it really becomes what you wanted!!
library(cowplot)
mtcars2 <- mtcars[1:5, ]
mtcars2$mod <- row.names(mtcars2)
# make 2 plots
p1 <- ggplot(mtcars2, aes(mod, mpg)) +
geom_col() +
theme(axis.text.x = element_text(angle = 90, vjust = 0, hjust = 1))
p2 <- ggplot(mtcars2, aes(hp, disp)) +
geom_point()
# arrange plots next to each other
plot_grid(p1, p2, align = "h", axis = "b") #Thanks to #phalteman
I'm doing something like the following. I tend to use cowplot for saving images of ggplot-generated plots but non-cowplot solutions are also fine. The first plot produces three facets (and one empty space) in a 2x2 arrangement, the second produces 6 facets in a 3x2 arrangement. I set base_height and base_width assuming a size of 2 square for each plot. In the images generated from the code below, the individual plots (each facet) are not quite the same size, across the two images.
library(ggplot2)
library(cowplot)
ggplot(mtcars, aes(x=mpg, y=hp))+
geom_point()+
facet_wrap(~cyl,ncol=2) +
ggtitle("hp vs. mpg, by cyl") +
theme_cowplot(font_size=10)
save_plot("car1.png", last_plot(), base_height=4, base_width=4)
ggplot(mtcars, aes(x=mpg, y=hp))+
geom_point()+
ggtitle("hp vs. mpg, by carb") +
facet_wrap(~carb,ncol=3)+
theme_cowplot(font_size=10)
save_plot("car2.png", last_plot(), base_height=4, base_width=6)
I tried including the png files in the post but they each get scaled differently so it would be misleading.
I know I could generate each facet separately as its own plot and use plot_grid, and then base_height and base_width would set the size of each plot on its own, but is there any way to use facet_wrap or facet_grid and set the absolute size when saved of each facet?
Does cowplot::align_plots work for you?
library(ggplot2)
library(cowplot)
p1 <- ggplot(mtcars, aes(x = mpg, y = hp)) +
geom_point() +
facet_wrap(~cyl, ncol = 2) +
ggtitle("hp vs. mpg, by cyl") +
theme_cowplot(font_size = 10)
p2 <- ggplot(mtcars, aes(x = mpg, y = hp)) +
geom_point() +
ggtitle("hp vs. mpg, by carb") +
facet_wrap(~carb, ncol = 3) +
theme_cowplot(font_size = 10)
twoplots <- align_plots(p1, p2, align = "hv", axis = "tblr") #tblr' for aligning all margins
save_plot("car1.png", ggdraw(twoplots[[1]]))
save_plot("car2.png", ggdraw(twoplots[[2]]))
I am creating a grob from a ggplot using ggplotGrob and then adding it as a background layer in a complex ggplot construction using annotation_custom since the performance is much improved in a facet_wrap plot with a large dataset. However I am unable to align the underlying grob correctly with the ggplot.
This simple example shows the issue I am trying to solve.
library(ggplot2)
p <- ggplot(mtcars, aes(wt, mpg)) +
geom_point(color = "red")
ggplot(mtcars, aes(wt, mpg)) +
annotation_custom(grob = ggplotGrob(p)) +
geom_point()
I want the plot with red points to be perfectly underneath the plot with black points.
You'd probably want to grab just the panel without axis, margins etc. before adding it as a custom annotation then. In example below, I made the red points larger so you can see that they overlap.
library(ggplot2)
p <- ggplot(mtcars, aes(wt, mpg)) +
geom_point(color = "red", size = 3)
grab_panel <- function(p) {
gt <- ggplotGrob(p)
layout <- gt$layout
is_panel <- which(layout$name == "panel")[[1]]
i <- layout$t[is_panel]
j <- layout$l[is_panel]
gt[i,j]
}
ggplot(mtcars, aes(wt, mpg)) +
annotation_custom(grob = grab_panel(p)) +
geom_point()
Created on 2021-03-20 by the reprex package (v1.0.0)
Ok, I'm stumped on a home-brew ggplot.
What I would like to do is have a three row, one column faceted plot with a different y-axis label for each facet. The units of the y-axis are all the same. This would be the most convenient, but googling tells me it may not be possible.
Alternatively, I found this solution using grid.arrange, which seems like it will work. However, I want to keep a legend only for one plot and remove it from the other two, but maintain the spacing as if it were still there so that everything lines up nice. Someone had the same problem a few years ago, but the suggested solution is depreciated and I can't sort out how to make it work in modern ggplot.
Any help is appreciated! Using facets would be easiest!
Edited to add copy of plot after using user20560's gridArrange solution below. Very nearly there, just would like to get back the box around the top and bottom facet panels!
I have assumed (possibly wrongly) that you are wanting to add separate y-axis titles rather than axis labels. [If it is the labels you want different you can use the scales argument in facet_grid]
There will be a ggplot way to do this but here are a couple of ways you could tweak the grobs yourself.
So using mtcars dataset as example
library(ggplot2)
library(grid)
library(gridExtra)
One way
p <- ggplot(mtcars, aes(mpg, wt, col=factor(vs))) + geom_point() +
facet_grid(gear ~ .)
# change the y axis labels manually
g <- ggplotGrob(p)
yax <- which(g$layout$name=="ylab")
# define y-axis labels
g[["grobs"]][[yax]]$label <- c("aa","bb", "cc")
# position of labels (ive just manually specified)
g[["grobs"]][[yax]]$y <- grid::unit(seq(0.15, 0.85, length=3),"npc")
grid::grid.draw(g)
Or using grid.arrange
# Create a plot for each level of grouping variable and y-axis label
p1 <- ggplot(mtcars[mtcars$gear==3, ], aes(mpg, wt, col=factor(vs))) +
geom_point() + labs(y="aa") + theme_bw()
p2 <- ggplot(mtcars[mtcars$gear==4, ], aes(mpg, wt, col=factor(vs))) +
geom_point() + labs(y="bb") + theme_bw()
p3 <- ggplot(mtcars[mtcars$gear==5, ], aes(mpg, wt, col=factor(vs))) +
geom_point() + labs(y="cc") + theme_bw()
# remove legends from two of the plots
g1 <- ggplotGrob(p1)
g1[["grobs"]][[which(g1$layout$name=="guide-box")]][["grobs"]] <- NULL
g3 <- ggplotGrob(p3)
g3[["grobs"]][[which(g3$layout$name=="guide-box")]][["grobs"]] <- NULL
gridExtra::grid.arrange(g1,p2,g3)
If it is the axis titles you want to add I should ask why you want a different titles - can the facet strip text not do?
Following the comments by Axeman and aosmith (thank you), here's a way to do this using the facet labels using ggplot2 version 2.2.0
library(ggplot2) # From sessionInfo(): ggplot2_2.2.0
ggplot(mtcars, aes(mpg, wt, col=factor(vs))) + geom_point() +
facet_grid(gear ~ ., switch = 'y') +
theme( axis.title.y = element_blank(), # remove the default y-axis title, "wt"
strip.background = element_rect(fill = 'transparent'), # replace the strip backgrounds with transparent
strip.placement = 'outside', # put the facet strips on the outside
strip.text.y = element_text(angle=180)) # rotate the y-axis text (optional)
# (see ?ggplot2::theme for a list of theme elements (args to theme()))
I know this is an old post, but after finding it, I could not get #user20560's response to work.
I've edited #user20560's grid.extra approach as follows:
library(ggplot2)
library(gridExtra)
library(grid)
# Create a plot for each level of grouping variable and y-axis label
p1 <- ggplot(mtcars[mtcars$gear==3, ], aes(mpg, wt, col=factor(vs))) +
geom_point() + labs(y="aa") + theme_bw()
p2 <- ggplot(mtcars[mtcars$gear==4, ], aes(mpg, wt, col=factor(vs))) +
geom_point() + labs(y="bb") + theme_bw()
p3 <- ggplot(mtcars[mtcars$gear==5, ], aes(mpg, wt, col=factor(vs))) +
geom_point() + labs(y="cc") + theme_bw()
# get the legend as a grob
legend <- ggplotGrob(p1)
legend <- legend$grobs[[which(legend$layout$name=="guide-box")]]
lheight <- sum(legend$height)
lwidth <- sum(legend$width)
# remove the legend from all the plots
p1 <- p1 + theme(legend.position = 'none')
p2 <- p2 + theme(legend.position = 'none')
p3 <- p3 + theme(legend.position = 'none')
# force the layout to the right side
layoutMat <- matrix(c(1,2,3,4,4,4),ncol = 2)
grid.arrange(p1,p2,p3,legend, layout_matrix = layoutMat, ncol = 2,
widths = grid::unit.c(unit(1,'npc') - lwidth, lwidth))
This example is somewhat specific to this particular layout. There is a more general approach on the ggplot2 wiki.
I too had trouble getting the first approach in the answer of user20560 (above) to work. This is probably because the internals of ggplot2 have evolved, and there is no guarantee that these internals should stay the same. In any case, here is a version that currently works:
library(ggplot2) # From sessionInfo(): ggplot2_2.1.0
library(grid)
p <- ggplot(mtcars, aes(mpg, wt, col=factor(vs))) + geom_point() + facet_grid(gear ~ .)
g <- ggplotGrob(p)
yax <- which(g$layout$name == "ylab")
g[["grobs"]][[yax]]$children[[1]]$label <- c('fo','bar','foobar')
g[["grobs"]][[yax]]$children[[1]]$y <- grid::unit(seq(0.15, 0.85, length=3), "npc")
grid.draw(g)
Note that this is the approach that keeps the facets and does not repeat the x-axes.