View source: R/geom_half_boxplot.R
geom_half_boxplot | R Documentation |
A half boxplot
geom_half_boxplot( mapping = NULL, data = NULL, stat = "boxplot", position = "dodge2", ..., side = "l", center = FALSE, nudge = 0, outlier.colour = NULL, outlier.color = NULL, outlier.fill = NULL, outlier.shape = 19, outlier.size = 1.5, outlier.stroke = 0.5, outlier.alpha = NULL, notch = FALSE, notchwidth = 0.5, varwidth = FALSE, errorbar.draw = TRUE, errorbar.length = 0.5, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE )
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
Use to override the default connection between 'geom_boxplot()' and 'stat_boxplot()'. |
position |
Position adjustment, either as a string, or the result of a call to a position adjustment function. |
... |
Other arguments passed on to |
side |
The side of the half-geom, "l" for left and "r" for right, defaults to "l". |
center |
Boolean whether to center the half-boxplot instead of aligning it to its respective side. |
nudge |
Add space between the boxplot and the middle of the space allotted to a given factor on the x-axis. |
outlier.colour, outlier.color, outlier.fill, outlier.shape, outlier.size, outlier.stroke, outlier.alpha |
Default aesthetics for outliers. Set to In the unlikely event you specify both US and UK spellings of colour, the US spelling will take precedence. Sometimes it can be useful to hide the outliers, for example when overlaying
the raw data points on top of the boxplot. Hiding the outliers can be achieved
by setting |
notch |
If |
notchwidth |
For a notched box plot, width of the notch relative to
the body (defaults to |
varwidth |
If |
errorbar.draw |
Draw horizontal whiskers at the top and bottom (the IQR). Defaults to 'TRUE'. |
errorbar.length |
Length of the horizontal whiskers (errorbar). Defaults to half the width of the half-boxplot |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
ggplot(iris, aes(x = Species, y = Petal.Width, fill = Species)) + geom_half_boxplot() ggplot(iris, aes(x = Species, y = Petal.Width, fill = Species)) + geom_half_boxplot(side = "r") ggplot(iris, aes(x = Species, y = Petal.Width, fill = Species)) + geom_half_boxplot(center = TRUE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.