Description Usage Arguments Value See Also Examples
View source: R/stat_lineribbon.R
A combination of stat_slabinterval()
and geom_lineribbon()
with sensible defaults.
While geom_lineribbon
is intended for use on data frames that have already been summarized using
a point_interval()
function, stat_lineribbon
is intended for use directly on data
frames of draws, and will perform the summarization using a point_interval()
function;
stat_dist_lineribbon
is intended for use on analytical distributions through the dist
,
arg1
, ... arg9
, and args
aesthetics.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30  stat_lineribbon(
mapping = NULL,
data = NULL,
geom = "lineribbon",
position = "identity",
...,
interval_function = NULL,
interval_args = list(),
point_interval = median_qi,
.width = c(0.5, 0.8, 0.95),
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
.prob,
fun.data,
fun.args
)
stat_dist_lineribbon(
mapping = NULL,
data = NULL,
geom = "lineribbon",
position = "identity",
...,
n = 501,
.width = c(0.5, 0.8, 0.95),
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)

mapping 
Set of aesthetic mappings created by 
data 
The data to be displayed in this layer. There are three options: If A A 
geom 
Use to override the default connection between

position 
Position adjustment, either as a string, or the result of a call to a position adjustment function. 
... 
Other arguments passed to 
interval_function 
Custom function for generating intervals (for most common use cases the 
interval_args 
Additional arguments passed to 
point_interval 
A function from the 
.width 
The 
na.rm 
If 
show.legend 
Should this layer be included in the legends? 
inherit.aes 
If 
.prob 
Deprecated. Use 
fun.data 
Deprecated. Use 
fun.args 
Deprecated. Use 
n 
Number of points at which to evaluate 
A ggplot2::Stat representing a combined line+uncertainty ribbon geometry which can
be added to a ggplot()
object.
See geom_lineribbon()
for the geom version, 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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18  library(dplyr)
library(ggplot2)
library(distributional)
tibble(x = 1:10) %>%
group_by_all() %>%
do(tibble(y = rnorm(100, .$x))) %>%
ggplot(aes(x = x, y = y)) +
stat_lineribbon() +
scale_fill_brewer()
tibble(
x = 1:10,
sd = seq(1, 3, length.out = 10)
) %>%
ggplot(aes(x = x, dist = dist_normal(x, sd))) +
stat_dist_lineribbon() +
scale_fill_brewer()

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