A combination of stat_summary 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_lineribbon(mapping = NULL, data = NULL, geom = "lineribbon",
  position = "identity", ..., point_interval = median_qi,
  fun.data = NULL, .width = c(0.5, 0.8, 0.95), .prob,
  fun.args = list(), na.rm = FALSE, show.legend = NA,
  inherit.aes = TRUE)

Arguments

mapping

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.

data

A layer specific dataset - only needed if you want to override the plot defaults.

geom

Use to override the default connection between geom_lineribbon and stat_lineribbon.

position

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.

point_interval

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. See the point_interval family of functions.

fun.data

Similar to point_interval, for compatibility with stat_summary. Note: if the summary function is passed using fun.data, x-based aesthetics are not converted to the correct form automatically.

.width

The .width argument passed to point_interval.

.prob

Deprecated. Use .width instead.

fun.args

Other optional arguments passed to fun.data.

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

show.legend

Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes.

inherit.aes

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 also

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 / stat_pointintervalh for a similar stat intended for point summaries and intervals.

Examples

library(dplyr) library(ggplot2) data_frame(x = 1:10) %>% group_by_all() %>% do(data_frame(y = rnorm(100, .$x))) %>% ggplot(aes(x = x, y = y)) + stat_lineribbon() + scale_fill_brewer()