View source: R/stat_qqboxplot.R
stat_qqboxplot | R Documentation |
Compute values for the Q-Q Boxplot
stat_qqboxplot( mapping = NULL, data = NULL, geom = "qqboxplot", position = "dodge2", ..., coef = 1.5, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, reference_dist = "norm", confidence_level = 0.95, numboots = 500, qtype = 7, compdata = NULL )
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
geom |
specifies the geom function to use |
position |
Position adjustment, either as a string, or the result of a call to a position adjustment function. |
... |
Other arguments passed on to |
coef |
Length of the whiskers as multiple of IQR. Defaults to 1.5. |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
reference_dist |
Specifies theoretical reference distribution. |
confidence_level |
Sets confidence level for deviation whisker confidence bands |
numboots |
specifies the number of bootstrap draws for bootstrapped CIs needed only if compdata is not NULL |
qtype |
an integer between 1 and 9 indicating which one of the quantile algorithms to use. |
compdata |
specifies a data set to use as the reference distribution. If compdata is not NULL, the argument reference_dist will be ignored. |
Returns an object of class StatQqboxplot
, (inherits from Geom
, ggproto
),
that helps to render the data for geom_qqboxplot()
.
stat_qqboxplot()
provides the following variables, some of which depend on the orientation:
width of boxplot
lower whisker = smallest observation greater than or equal to lower hinge - 1.5 * IQR
lower hinge, 25% quantile
lower edge of notch = median - 1.58 * IQR / sqrt(n)
median, 50% quantile
upper edge of notch = median + 1.58 * IQR / sqrt(n)
upper hinge, 75% quantile
upper whisker = largest observation less than or equal to upper hinge + 1.5 * IQR
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