Visualize the distribution of a continuous variable using bins.
Values below left or above right can be grouped into outlier bins
for compact display when the range of values is wide.
histbin() is deprecated as of version 0.8.0.
Please use outlier_histogram() instead.
In addition, note that x must now be passed as string
(standard evaluation).
Usage
outlier_histogram(
data,
x,
left = NULL,
right = NULL,
line = FALSE,
bins = 30,
fill = "steelblue",
color = "white",
fill_outliers = "#a7d1a7"
)
histbin(
data,
x,
left = NULL,
right = NULL,
line = FALSE,
bins = 30,
fill = "steelblue",
color = "white",
fill_outliers = "#a7d1a7"
)Arguments
- data
A data.frame containing the variable to plot.
- x
Variable name in
datato map on the x-axis.- left
Optional numeric, floor of the range. Values below are binned together.
- right
Optional numeric, ceiling of the range. Values above are binned together.
- line
Logical. If TRUE, add a density line. Default = FALSE.
- bins
Integer. Number of bins to use. Default = 30.
- fill
Fill color for bars. If NULL, a default is chosen.
- color
Line color for bars. If NULL, a default is chosen.
- fill_outliers
Fill color for outlier bins. Default = "#a7d1a7".
Value
A ggplot2::ggplot object.
Details
This is a wrapper around ggplot2::geom_histogram().
The method for handling outliers is based on
https://edwinth.github.io/blog/outlier-bin/.
