Reputation: 43450
I have a plot where the x-axis is a factor whose labels are long. While probably not an ideal visualization, for now I'd like to simply rotate these labels to be vertical. I've figured this part out with the code below, but as you can see, the labels aren't totally visible.
data(diamonds)
diamonds$cut <- paste("Super Dee-Duper",as.character(diamonds$cut))
q <- qplot(cut,carat,data=diamonds,geom="boxplot")
q + opts(axis.text.x=theme_text(angle=-90))
Upvotes: 918
Views: 1684825
Reputation: 8402
coord_flip()
data(diamonds)
diamonds$cut <- paste("Super Dee-Duper",as.character(diamonds$cut))
qplot(cut, carat, data = diamonds, geom = "boxplot") +
coord_flip()
str_wrap()
# wrap text to no more than 15 spaces
library(stringr)
diamonds$cut2 <- str_wrap(diamonds$cut, width = 15)
qplot(cut2, carat, data = diamonds, geom = "boxplot") +
coord_flip()
In Ch 3.9 of R for Data Science, Wickham and Grolemund speak to this exact question:
coord_flip()
switches the x and y axes. This is useful (for example), if you want horizontal boxplots. It’s also useful for long labels: it’s hard to get them to fit without overlapping on the x-axis.
Upvotes: 146
Reputation: 9536
To obtain readable x tick labels without additional dependencies, you want to use:
... +
theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5)) +
...
This rotates the tick labels 90° counterclockwise and aligns them vertically at their end (hjust = 1
) and their centers horizontally with the corresponding tick mark (vjust = 0.5
).
Full example:
library(ggplot2)
data(diamonds)
diamonds$cut <- paste("Super Dee-Duper",as.character(diamonds$cut))
q <- qplot(cut,carat,data=diamonds,geom="boxplot")
q + theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5))
Note, that vertical/horizontal justification parameters vjust
/hjust
of element_text
are relative to the text. Therefore, vjust
is responsible for the horizontal alignment.
Without vjust = 0.5
it would look like this:
q + theme(axis.text.x = element_text(angle = 90, hjust = 1))
Without hjust = 1
it would look like this:
q + theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
If for some (wired) reason you wanted to rotate the tick labels 90° clockwise (such that they can be read from the left) you would need to use: q + theme(axis.text.x = element_text(angle = -90, vjust = 0.5, hjust = -1))
.
All of this has already been discussed in the comments of this answer but I come back to this question so often, that I want an answer from which I can just copy without reading the comments.
Upvotes: 15
Reputation: 9536
ggplot 3.3.0
fixes this by providing guide_axis(angle = 90)
(as guide
argument to scale_..
or as x
argument to guides
):
library(ggplot2)
data(diamonds)
diamonds$cut <- paste("Super Dee-Duper", as.character(diamonds$cut))
ggplot(diamonds, aes(cut, carat)) +
geom_boxplot() +
scale_x_discrete(guide = guide_axis(angle = 90)) +
# ... or, equivalently:
# guides(x = guide_axis(angle = 90)) +
NULL
From the documentation of the angle
argument:
Compared to setting the angle in theme() / element_text(), this also uses some heuristics to automatically pick the hjust and vjust that you probably want.
Alternatively, it also provides guide_axis(n.dodge = 2)
(as guide
argument to scale_..
or as x
argument to guides
) to overcome the over-plotting problem by dodging the labels vertically. It works quite well in this case:
library(ggplot2)
data(diamonds)
diamonds$cut <- paste("Super Dee-Duper",as.character(diamonds$cut))
ggplot(diamonds, aes(cut, carat)) +
geom_boxplot() +
scale_x_discrete(guide = guide_axis(n.dodge = 2)) +
NULL
Upvotes: 194
Reputation: 25367
Change the last line to
q + theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))
By default, the axes are aligned at the center of the text, even when rotated. When you rotate +/- 90 degrees, you usually want it to be aligned at the edge instead:
The image above is from this blog post.
Upvotes: 1541
Reputation: 23767
An alternative to coord_flip()
is to use the ggstance
package.
The advantage is that it makes it easier to combine the graphs with other graph types and you can, maybe more importantly, set fixed scale ratios for your coordinate system.
library(ggplot2)
library(ggstance)
diamonds$cut <- paste("Super Dee-Duper", as.character(diamonds$cut))
ggplot(data=diamonds, aes(carat, cut)) + geom_boxploth()
Created on 2020-03-11 by the reprex package (v0.3.0)
Upvotes: 0
Reputation: 25484
The ggpubr package offers a shortcut that does the right thing by default (right align text, middle align text box to tick):
library(ggplot2)
diamonds$cut <- paste("Super Dee-Duper", as.character(diamonds$cut))
q <- qplot(cut, carat, data = diamonds, geom = "boxplot")
q + ggpubr::rotate_x_text()
Created on 2018-11-06 by the reprex package (v0.2.1)
Found with a GitHub search for the relevant argument names: https://github.com/search?l=R&q=element_text+angle+90+vjust+org%3Acran&type=Code
Upvotes: 13
Reputation: 1683
To make the text on the tick labels fully visible and read in the same direction as the y-axis label, change the last line to
q + theme(axis.text.x=element_text(angle=90, hjust=1))
Upvotes: 105
Reputation: 10526
I'd like to provide an alternate solution, a robust solution similar to what I am about to propose was required in the latest version of ggtern, since introducing the canvas rotation feature.
Basically, you need to determine the relative positions using trigonometry, by building a function which returns an element_text
object, given angle (ie degrees) and positioning (ie one of x,y,top or right) information.
#Load Required Libraries
library(ggplot2)
library(gridExtra)
#Build Function to Return Element Text Object
rotatedAxisElementText = function(angle,position='x'){
angle = angle[1];
position = position[1]
positions = list(x=0,y=90,top=180,right=270)
if(!position %in% names(positions))
stop(sprintf("'position' must be one of [%s]",paste(names(positions),collapse=", ")),call.=FALSE)
if(!is.numeric(angle))
stop("'angle' must be numeric",call.=FALSE)
rads = (angle - positions[[ position ]])*pi/180
hjust = 0.5*(1 - sin(rads))
vjust = 0.5*(1 + cos(rads))
element_text(angle=angle,vjust=vjust,hjust=hjust)
}
Frankly, in my opinion, I think that an 'auto' option should be made available in ggplot2
for the hjust
and vjust
arguments, when specifying the angle, anyway, lets demonstrate how the above works.
#Demonstrate Usage for a Variety of Rotations
df = data.frame(x=0.5,y=0.5)
plots = lapply(seq(0,90,length.out=4),function(a){
ggplot(df,aes(x,y)) +
geom_point() +
theme(axis.text.x = rotatedAxisElementText(a,'x'),
axis.text.y = rotatedAxisElementText(a,'y')) +
labs(title = sprintf("Rotated %s",a))
})
grid.arrange(grobs=plots)
Which produces the following:
Upvotes: 33