geom_blank(mapping = NULL, data = NULL, stat = "identity", position = "identity", show.legend = NA, inherit.aes = TRUE, ...)
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
mappingif there isn't a mapping defined for the plot.
NA, the default, includes if any aesthetics are mapped.
FALSEnever includes, and
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.
layer. There are three types of arguments you can use here:
color = "red"or
size = 3.
statassociated 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)