I can\'t figure out how to use expand()
within scale_x_discrete()
to expand a categorical x-axis so that placing a label to the right of points won
Since I'm facing the same problem... I found expand_limits(...)
quite useful here:
dat <- data.frame(x= c('a', 'b', 'c'), y= 1:3)
ggplot(data= dat, aes(x= x, y= y)) +
geom_point() +
expand_limits(x= c(-1, 5))
Or, to avoid hardcoding the limits:
expand_limits(x= c(-1, length(levels(dat$x)) + 2))
(With ggplot2_3.1.0
)
You could just append a blank level to the existing levels of your categorical variable, as in:
data(iris)
levels(iris$Species) <- c(levels(iris$Species),'') # add blank level
library(ggplot2)
ggplot(data = iris, aes(x = Species, y = Sepal.Width)) +
geom_jitter() +
scale_x_discrete(drop=FALSE) # don't drop unused blank level
Update: Or, if you really want to extend the x axis by a numeric value then you could first convert the categorical to numeric via as.integer()
:
data(iris)
specVals <- levels(iris$Species)
iris$Species <- as.integer(iris$Species)
library(ggplot2)
ggplot(data = iris, aes(x = Species, y = Sepal.Width)) +
geom_jitter(height=0) + # on 2nd thought -- don't add noise to the quantitative axis
scale_x_continuous(limits=c(min(iris$Species)-0.5,max(iris$Species)+1),
breaks=(min(iris$Species)):(max(iris$Species)+1),
labels=c(specVals,''))