gghistogram {ggplot} | R Documentation |
Draw a histogram
gghistogram(plot = .PLOT, aesthetics=list(), ..., data=plot$data)
plot |
the plot object to modify |
aesthetics |
named list of aesthetic mappings, see details for more information |
... |
other options, see details for more information |
data |
data source, if not specified the plot default will be used |
Aesthetic mappings that this grob function understands:
Conceptually, the histogram is one of the most complicated
of the grob functions, becuase it takes a 1D data set and makes
it two dimensional. This necessitates an extra step, the pre_histogram
function which bins the data and returns the bins with their counts.
This data is then used my grob_histogram
to plot the points.
These can be specified in the plot defaults (see ggplot
) or
in the aesthetics
argument. If you want to modify the position
of the points or any axis options, you will need to add a position scale to
the plot. These functions start with ps
, eg.
pscontinuous
or pscategorical
Other options:
Hadley Wickham <h.wickham@gmail.com>
m <- ggplot(movies, aesthetics=list(x=rating)) gghistogram(m)