geom_ribbon {ggplot2}R Documentation

Ribbons, y range with continuous x values.

Description

Ribbons, y range with continuous x values.

Usage

geom_ribbon(mapping = NULL, data = NULL, stat = "identity",
  position = "identity", na.rm = FALSE, ...)

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.

stat

The statistical transformation to use on the data for this layer.

position

The position adjustment to use for overlapping points on this layer

na.rm

If FALSE (the default), removes missing values with a warning. If TRUE silently removes missing values.

...

other arguments passed on to layer. This can include aesthetics whose values you want to set, not map. See layer for more details.

Aesthetics

geom_ribbon understands the following aesthetics (required aesthetics are in bold):

See Also

geom_bar for discrete intervals (bars), geom_linerange for discrete intervals (lines), geom_polygon for general polygons"

Examples


# Generate data
huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron))
library(plyr) # to access round_any
huron$decade <- round_any(huron$year, 10, floor)

h <- ggplot(huron, aes(x=year))

h + geom_ribbon(aes(ymin=0, ymax=level))
h + geom_area(aes(y = level))

# Add aesthetic mappings
h + geom_ribbon(aes(ymin=level-1, ymax=level+1))
h + geom_ribbon(aes(ymin=level-1, ymax=level+1)) + geom_line(aes(y=level))

# Take out some values in the middle for an example of NA handling
huron[huron$year > 1900 & huron$year < 1910, "level"] <- NA
h <- ggplot(huron, aes(x=year))
h + geom_ribbon(aes(ymin=level-1, ymax=level+1)) + geom_line(aes(y=level))

# Another data set, with multiple y's for each x
m <- ggplot(movies, aes(y=votes, x=year))
(m <- m + geom_point())

# The default summary isn't that useful
m + stat_summary(geom="ribbon", fun.ymin="min", fun.ymax="max")
m + stat_summary(geom="ribbon", fun.data="median_hilow")

# Use qplot instead
qplot(year, level, data=huron, geom=c("area", "line"))
[Package ggplot2 version 1.0.1 Index]