geom_ribbon.Rd

% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/geom-ribbon-.r
\name{geom_ribbon}
\alias{geom_ribbon}
\title{Ribbons, y range with continuous x values.}
\usage{
geom_ribbon(mapping = NULL, data = NULL, stat = "identity",
  position = "identity", na.rm = FALSE, show_guide = NA, ...)
}
\arguments{
\item{mapping}{The aesthetic mapping, usually constructed with
\code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set
at the layer level if you are overriding the plot defaults.}

\item{data}{A data frame. If specified, overrides the default data frame
defined at the top level of the plot.}

\item{stat}{The statistical transformation to use on the data for this
layer, as a string.}

\item{position}{Postion adjustment, either as a string, or the result of
a call to a position adjustment function.}

\item{na.rm}{If \code{FALSE} (the default), removes missing values with
a warning.  If \code{TRUE} silently removes missing values.}

\item{show_guide}{logical. Should this layer be included in the legends?
\code{NA}, the default, includes if any aesthetics are mapped.
\code{FALSE} never includes, and \code{TRUE} always includes.}

\item{...}{other arguments passed on to \code{\link{layer}}. There are
  three types of arguments you can use here:

  \itemize{
  \item Aesthetics: to set an aesthetic to a fixed value, like
     \code{color = "red"} or \code{size = 3}.
  \item Other arguments to the layer, for example you override the
    default \code{stat} associated with the layer.
  \item Other arguments passed on to the stat.
  }}
}
\description{
Ribbons, y range with continuous x values.
}
\section{Aesthetics}{

\Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "ribbon")}
}
\examples{
\donttest{
# 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")
}
}
\seealso{
\code{\link{geom_bar}} for discrete intervals (bars),
  \code{\link{geom_linerange}} for discrete intervals (lines),
  \code{\link{geom_polygon}} for general polygons"
}