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.