A combination of stat_summary
/ stat_summaryh
and
geom_pointinterval
/ geom_pointintervalh
with sensible defaults.
While the corresponding geom
s are intended for use on
data frames that have already been summarized using a point_interval
function, these stat
s are intended for use directly on data frames of draws, and
will perform the summarization using a point_interval
function.
stat_pointinterval(mapping = NULL, data = NULL,
geom = "pointinterval", position = "identity", ...,
point_interval = median_qi, fun.data = NULL, .width = c(0.66,
0.95), .prob, fun.args = list(), na.rm = FALSE,
show.legend = c(size = FALSE), inherit.aes = TRUE)stat_pointintervalh(mapping = NULL, data = NULL,
geom = "pointintervalh", position = "identity", ...,
point_interval = median_qi, fun.data = NULL, .width = c(0.66,
0.95), .prob, fun.args = list(), na.rm = FALSE,
show.legend = c(size = FALSE), inherit.aes = TRUE)
The aesthetic mapping, usually constructed with
aes
or aes_string
. Only needs to be set at the
layer level if you are overriding the plot defaults.
A layer specific dataset - only needed if you want to override the plot defaults.
Use to override the default connection between
geom_pointinterval
/geom_pointintervalh
and stat_pointinterval
/stat_pointintervalh
.
The position adjustment to use for overlapping points on this layer.
Other arguments passed to layer
. They may also be arguments to the paired geom.
A function that when given a vector should
return a data frame with variables y
, ymin
, ymax
, and .width
; or
x
, xmin
, xmax
, and .width
. Either is acceptable: output
will be converted into the y
-based aesthetics for stat_pointinterval
and the
x
-based aesthetics for stat_pointintervalh
. See the point_interval
family of functions.
Similar to point_interval
, for compatibility with stat_summary
.
Note: if the summary function is passed using fun.data
, the x
and y
-based aesthetics
are not converted to the correct form automatically.
The .width
argument passed to point_interval
.
Deprecated. Use .width
instead.
Other optional arguments passed to fun.data
.
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 behavior from the
default plot specification, e.g. borders.
See geom_pointinterval
/ geom_pointintervalh
for the geom versions, intended
for use on points and intervals that have already been summarized using a point_interval
function.
See stat_interval
/ stat_intervalh
for a similar stat intended for intervals without
point summaries.
# NOT RUN {
library(magrittr)
library(ggplot2)
data(RankCorr, package = "tidybayes")
RankCorr %>%
spread_draws(u_tau[i]) %>%
ggplot(aes(y = i, x = u_tau)) +
stat_pointintervalh(.width = c(.66, .95))
RankCorr %>%
spread_draws(u_tau[i]) %>%
ggplot(aes(x = i, y = u_tau)) +
stat_pointinterval(.width = c(.66, .95))
# }
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