Edward Tufte's revisions of the box plot as described in The Visual Display of Quantitative Information. This functions provides several box plot variants:
A point indicating the median, a gap indicating the interquartile range, and lines for whiskers.
An offset line indicating the interquartile range and a gap indicating the median.
A line indicating the interquartile range, a gap indicating the median, and points indicating the minimum and maximum values
A wide line indicating the interquartile range, a gap indicating the median, and lines indicating the minimum and maximum.
geom_tufteboxplot(
mapping = NULL,
data = NULL,
stat = "fivenumber",
position = "dodge",
outlier.colour = "black",
outlier.shape = 19,
outlier.size = 1.5,
outlier.stroke = 0.5,
voffset = 0.01,
hoffset = 0.005,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
median.type = "point",
whisker.type = "line",
...
)Set of aesthetic mappings created by 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.
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 ggplot().
A data.frame, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
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)).
The statistical transformation to use on the data for this
layer, as a string. The default (stat = 'fivenumber') calls
stat_fivenumber and produces whiskers that extend
from the interquartile range to the extremes of the data; specifying
stat_boxplot will produce a more traditional boxplot
with whiskers extending to the most extreme points that are < 1.5 IQR
away from the hinges (i.e., the first and third quartiles).
A position adjustment to use on the data for this layer. This
can be used in various ways, including to prevent overplotting and
improving the display. The position argument accepts the following:
The result of calling a position function, such as position_jitter().
This method allows for passing extra arguments to the position.
A string naming the position adjustment. To give the position as a
string, strip the function name of the position_ prefix. For example,
to use position_jitter(), give the position as "jitter".
For more information and other ways to specify the position, see the layer position documentation.
colour for outlying points
shape of outlying points
size of outlying points
stroke for outlying points
controls the size of the gap in the line representing the
median when median.type = 'line'. This is a fraction of the range
of y.
controls how much the interquartile line is offset from the
whiskers when median.type = 'line'. This is a fraction of the
range of x.
If FALSE, the default, missing values are removed with
a warning. If TRUE, missing values are silently removed.
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. To include legend keys for all levels, even
when no data exists, use TRUE. If NA, all levels are shown in legend,
but unobserved levels are omitted.
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. annotation_borders().
If 'point', then the median is represented by a
point, and the interquartile range by a gap in the line. If
median.type='line', then the interquartile range is represented by
a line, possibly offset, and the median by a gap in the line.
If 'line', then whiskers are represented by lines.
If 'point', then whiskers are represented by points at
ymin and ymax.
Other arguments passed on to layer()'s params argument. These
arguments broadly fall into one of 4 categories below. Notably, further
arguments to the position argument, or aesthetics that are required
can not be passed through .... Unknown arguments that are not part
of the 4 categories below are ignored.
Static aesthetics that are not mapped to a scale, but are at a fixed
value and apply to the layer as a whole. For example, colour = "red"
or linewidth = 3. The geom's documentation has an Aesthetics
section that lists the available options. The 'required' aesthetics
cannot be passed on to the params. Please note that while passing
unmapped aesthetics as vectors is technically possible, the order and
required length is not guaranteed to be parallel to the input data.
When constructing a layer using
a stat_*() function, the ... argument can be used to pass on
parameters to the geom part of the layer. An example of this is
stat_density(geom = "area", outline.type = "both"). The geom's
documentation lists which parameters it can accept.
Inversely, when constructing a layer using a
geom_*() function, the ... argument can be used to pass on parameters
to the stat part of the layer. An example of this is
geom_area(stat = "density", adjust = 0.5). The stat's documentation
lists which parameters it can accept.
The key_glyph argument of layer() may also be passed on through
.... This can be one of the functions described as
key glyphs, to change the display of the layer in the legend.
x [required]
y [required]
colour
size
linetype
shape
fill
alpha
Tufte, Edward R. (2001) The Visual Display of Quantitative Information, Chapter 6.
McGill, R., Tukey, J. W. and Larsen, W. A. (1978) Variations of box plots. The American Statistician 32, 12-16.
Other geom tufte:
geom_rangeframe()
library("ggplot2")
p <- ggplot(mtcars, aes(factor(cyl), mpg))
# with a point for the median and lines for whiskers
p + geom_tufteboxplot()
# with a line for the interquartile range and points for whiskers
p + geom_tufteboxplot(median.type = "line", whisker.type = "point", hoffset = 0)
# with a wide line for the interquartile range and lines for whiskers
p + geom_tufteboxplot(median.type = "line", hoffset = 0, width = 3)
# with an offset line for the interquartile range and lines for whiskers
p + geom_tufteboxplot(median.type = "line")
# combined with theme_tufte
p + geom_tufteboxplot() + theme_tufte() + theme(axis.ticks.x = element_blank())
# traditional boxplot with whiskers only out to 1.5 IQR, outlier points
p + geom_tufteboxplot(stat = "boxplot", outlier.shape = 5)
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