What I want is quite simple, yet hard to implement: Set ticks where ggplot2()
would set them, and additionally at the limits. Since I am dealing with many datasets, I want to avoid setting the ticks on my own.
require(ggplot2)
ggplot(data=ChickWeight, aes(ChickWeight$Time)) geom_histogram(binwidth=1)
In order to add max(ChickWeight$Time)
to the axis, I have tried pretty()
, which goes beyond the maximum:
ggplot(data=ChickWeight, aes(ChickWeight$Time)) + geom_histogram(binwidth=1)
+ scale_x_continuous(breaks=pretty(ChickWeight$Time))
...as well as pretty_breaks()
, which makes even less breaks:
require(scales)
ggplot(data=ChickWeight, aes(ChickWeight$Time)) + geom_histogram(binwidth=1)
+ scale_x_continuous(breaks=pretty_breaks(ChickWeight$Time))
But none of the solutions takes any argument that looks like maximum. My maximum values are however something special, which is why I want to include it in the plot.
One solution would be to combine pretty()
and max()
as the breaks=
values to set additional tick at maximal value.If function pretty()
will produce values larger than maximal value those values will not be shown due to subsetting.
ggplot(data=ChickWeight, aes(Time)) + geom_histogram(binwidth=1)+
scale_x_continuous(breaks=c(pretty(ChickWeight$Time)[pretty(ChickWeight$Time)<max(ChickWeight$Time)],max(ChickWeight$Time)))