boxplot
function, and may be apparent with small samples.
See boxplot.stats
for for more information on how hinge
positions are calculated for boxplot
.geom_boxplot(mapping = NULL, data = NULL, stat = "boxplot",
position = "dodge", outlier.colour = NULL, outlier.shape = 19,
outlier.size = 1.5, outlier.stroke = 0.5, notch = FALSE,
notchwidth = 0.5, varwidth = FALSE, na.rm = FALSE, show.legend = NA,
inherit.aes = TRUE, ...)stat_boxplot(mapping = NULL, data = NULL, geom = "boxplot",
position = "dodge", coef = 1.5, na.rm = FALSE, show.legend = NA,
inherit.aes = TRUE, ...)
NULL
to inherit from the aesthetics
used for the box.FALSE
(default) make a standard box plot. If
TRUE
, make a notched box plot. Notches are used to compare groups;
if the notches of two boxes do not overlap, this suggests that the medians
are significantly different.FALSE
(default) make a standard box plot. If
TRUE
, boxes are drawn with widths proportional to the
square-roots of the number of observations in the groups (possibly
weighted, using the weight
aesthetic).FALSE
(the default), removes missing values with
a warning. If TRUE
silently removes missing values.NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.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.
layer
. There are
three types of arguments you can use here:
color = "red"
orsize = 3
.geom_boxplot
and stat_boxplot
.In a notched box plot, the notches extend 1.58 * IQR / sqrt(n)
.
This gives a roughly 95See McGill et al. (1978) for more details.