Histogram with rounded bars

Create a histogram with rounded corners using 'ggplot2'. geom_histogram_rounded() is an extension of the ggplot2::geom_histogram() function and uses the same binning parameters as ggplot2::stat_bin() while drawing bars with rounded corners.

Usage

geom_histogram_rounded(
  mapping = NULL,
  data = NULL,
  position = "stack",
  radius = 0.2,
  ...,
  binwidth = NULL,
  bins = NULL,
  center = NULL,
  boundary = NULL,
  closed = c("right", "left"),
  pad = FALSE,
  breaks = NULL,
  drop = "none",
  orientation = NA,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE
)

Arguments

mapping

Set of aesthetic mappings created by ggplot2::aes(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.

data

The data to be displayed in this layer. There are three options:

If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot2::ggplot().

A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See ggplot2::fortify() for which variables will be created.

A function will be called with a single argument, the plot data. The return value must be a data.frame, and will be used as the layer data. A function can be created from a formula (e.g. ~ head(.x, 10)).

position

Position adjustment, either as a string naming the adjustment (e.g. "jitter" to use position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.

radius

A normalized rounding amount between 0 and 1. Use 0 for square corners and 1 for the maximum rounding each bar can safely support.

...

Other arguments passed on to ggplot2::layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like colour = "red" or size = 3. They may also be parameters to the paired geom/stat.

binwidth

The width of the bins. The default uses 30 bins that cover the range of the data. You should usually override this value, exploring multiple widths to find the best to illustrate the stories in your data.

bins

Number of bins. Overridden by binwidth. Defaults to 30.

center, boundary

Bin position specifiers passed to ggplot2::stat_bin().

closed

One of "right" or "left" indicating whether right or left edges of bins are included.

pad

If TRUE, adds empty bins at either side of the range.

breaks

A numeric vector of bin boundaries.

drop

Controls whether empty bins are dropped. Passed to ggplot2::stat_bin().

orientation

The orientation of the layer. Passed to ggplot2::stat_bin().

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

show.legend

logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.

inherit.aes

If 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. ggplot2::borders().

Value

A ggplot object.

Examples

library(ggplot2)

ggplot(faithful, aes(waiting)) +
  geom_histogram_rounded()
#> `stat_bin()` using `bins = 30`. Pick better value `binwidth`.


ggplot(faithful, aes(waiting)) +
  geom_histogram_rounded(bins = 10, radius = 1)