gghistogram {ggplot} | R Documentation |
Draw a histogram
gghistogram(plot = .PLOT, aesthetics=list(), scale="prob", ..., data=NULL)
plot |
the plot object to modify |
aesthetics |
named list of aesthetic mappings, see details for more information |
scale |
other options, see details for more information |
... |
data source, if not specified the plot default will be used |
data |
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.
x
:x position (required)
weight
: observation weights
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:
breaks
:breaks argument passed to hist
scale
:scale argument passed to hist
ggrect
Hadley Wickham <h.wickham@gmail.com>
m <- ggplot(movies, aesthetics=list(x=rating)) gghistogram(m) gghistogram(m, breaks=100) qplot(length, data=movies, type="histogram") qplot(log(length), data=movies, type="histogram") m <- ggplot(movies, Action ~ Comedy, aesthetics=list(x=rating), margins=TRUE) gghistogram(m) gghistogram(m, scale="freq") gghistogram(m, colour="darkgreen", fill="white") qplot(rating, data=movies, type="histogram") qplot(rating, weight=votes, data=movies, type="histogram") qplot(rating, weight=votes, data=movies, type=c("histogram", "density"))