A combination of stat_sample_slabinterval() and geom_slabinterval() with sensible defaults. While the corresponding geoms are intended for use on data frames that have already been summarized using a point_interval() function, these stats are intended for use directly on data frames of draws, and will perform the summarization using a point_interval() function.

stat_interval(
mapping = NULL,
data = NULL,
geom = "interval",
position = "identity",
...,
orientation = NA,
interval_function = NULL,
interval_args = list(),
point_interval = median_qi,
.width = c(0.5, 0.8, 0.95),
show_point = FALSE,
show_slab = FALSE,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
.prob,
fun.data,
fun.args
)

## Arguments

mapping Set of aesthetic mappings created by aes() or 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)). Use to override the default connection between stat_slabinterval and geom_slabinterval() Position adjustment, either as a string, or the result of a call to a position adjustment function. Other arguments passed to layer(). They may also be arguments to the paired geom (e.g., geom_pointinterval()) Whether this geom is drawn horizontally ("horizontal") or vertically ("vertical"). The default, NA, automatically detects the orientation based on how the aesthetics are assigned, and should generally do an okay job at this. When horizontal (resp. vertical), the geom uses the y (resp. x) aesthetic to identify different groups, then for each group uses the x (resp. y) aesthetic and the thickness aesthetic to draw a function as an slab, and draws points and intervals horizontally (resp. vertically) using the xmin, x, and xmax (resp. ymin, y, and ymax) aesthetics. For compatibility with the base ggplot naming scheme for orientation, "x" can be used as an alias for "vertical" and "y" as an alias for "horizontal" (tidybayes had an orientation parameter before ggplot did, and I think the tidybayes naming scheme is more intuitive: "x" and "y" are not orientations and their mapping to orientations is, in my opinion, backwards; but the base ggplot naming scheme is allowed for compatibility). Custom function for generating intervals (for most common use cases the point_interval argument will be easier to use). This function takes a data frame of aesthetics and a .width parameter (a vector of interval widths), and returns a data frame with columns .width (from the .width vector), .value (point summary) and .lower and .upper (endpoints of the intervals, given the .width). Output will be converted to the appropriate x- or y-based aesthetics depending on the value of orientation. If interval_function is NULL, point_interval is used instead. Additional arguments passed to interval_function or point_interval. A function from the point_interval() family (e.g., median_qi, mean_qi, etc). This function should take in a vector of value, and should obey the .width and .simple_names parameters of point_interval() functions, such that when given a vector with .simple_names = TRUE should return a data frame with variables .value, .lower, .upper, and .width. Output will be converted to the appropriate x- or y-based aesthetics depending on the value of orientation. See the point_interval() family of functions for more information. The .width argument passed to interval_function or point_interval. Should the point portion of the geom be drawn? Default TRUE. Should the slab portion of the geom be drawn? Default TRUE. If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed. Should this layer be included in the legends? Default is c(size = FALSE), unlike most geoms, to match its common use cases. FALSE hides all legends, TRUE shows all legends, and NA shows only those that are mapped (the default for most geoms). 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. borders(). Deprecated. Use .width instead. Deprecated. Use point_interval or interval_function instead. Deprecated. Use interval_args instead.

## Value

A ggplot2::Stat representing a multiple interval geometry which can be added to a ggplot() object.

## Aesthetics

These stats support the following aesthetics:

• colour

• datatype

• x

• y

• thickness

• group

In addition, in their default configuration (paired with geom_interval()) the following aesthetics are supported by the underlying geom:

• x

• y

• datatype

• alpha

• colour

• linetype

• fill

• shape

• stroke

• point_colour

• point_fill

• point_alpha

• point_size

• size

• interval_colour

• interval_alpha

• interval_size

• interval_linetype

• slab_size

• slab_colour

• slab_fill

• slab_alpha

• slab_linetype

• ymin

• ymax

• xmin

• xmax

• width

• height

• thickness

• group

See examples of some of these aesthetics in action in vignette("slabinterval"). Learn more about the sub-geom aesthetics (like interval_color) in the scales documentation. Learn more about basic ggplot aesthetics in vignette("ggplot2-specs").

See geom_interval() for the geom versions, intended for use on points and intervals that have already been summarized using a point_interval() function. See stat_pointinterval() for a similar stat intended for point summaries and intervals. See stat_sample_slabinterval() for a variety of other stats that combine intervals with densities and CDFs. See geom_slabinterval() for the geom that these geoms wrap. All parameters of that geom are available to these geoms.

## Examples


library(dplyr)
library(ggplot2)

data(RankCorr_u_tau, package = "ggdist")

RankCorr_u_tau %>%
group_by(i) %>%
ggplot(aes(y = factor(i), x = u_tau)) +
stat_interval() +
scale_color_brewer()
RankCorr_u_tau %>%
group_by(i) %>%
ggplot(aes(x = factor(i), y = u_tau)) +
stat_interval() +
scale_color_brewer()