geom_blank(mapping = NULL, data = NULL, stat = "identity", position = "identity", show.legend = NA, inherit.aes = TRUE, ...)
aes
or
aes_
. If specified and inherit.aes = TRUE
(the
default), is combined with the default mapping at the top level of the
plot. You only need to supply mapping
if there isn't a mapping
defined for the plot.NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.FALSE
, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g. borders
.layer
. There are
three types of arguments you can use here:
color = "red"
or size = 3
.
stat
associated with the layer.
The blank geom draws nothing, but can be a useful way of ensuring common scales between different plots.
ggplot(mtcars, aes(wt, mpg)) + geom_blank()
# Nothing to see here! # Take the following scatter plot a <- ggplot(mtcars, aes(x = wt, y = mpg), . ~ cyl) + geom_point() # Add to that some lines with geom_abline() df <- data.frame(a = rnorm(10, 25), b = rnorm(10, 0)) a + geom_abline(aes(intercept = a, slope = b), data = df)
# Suppose you then wanted to remove the geom_point layer # If you just remove geom_point, you will get an error b <- ggplot(mtcars, aes(x = wt, y = mpg)) ## Not run: b + geom_abline(aes(intercept = a, slope = b), data = df) # Switching to geom_blank() gets the desired plot c <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_blank() c + geom_abline(aes(intercept = a, slope = b), data = df)