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\name{geom_line}
\alias{geom_line}
\title{Connect observations, ordered by x value.}
\usage{
geom_line(mapping = NULL, data = NULL, stat = "identity",
position = "identity", ...)
}
\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 layer specific dataset - only needed if you
want to override the plot defaults.}
\item{stat}{The statistical transformation to use on the
data for this layer.}
\item{position}{The position adjustment to use for
overlappling points on this layer}
\item{...}{other arguments passed on to
\code{\link{layer}}. This can include aesthetics whose
values you want to set, not map. See \code{\link{layer}}
for more details.}
}
\description{
Connect observations, ordered by x value.
}
\section{Aesthetics}{
\Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom",
"line")}
}
\examples{
# Summarise number of movie ratings by year of movie
mry <- do.call(rbind, by(movies, round(movies$rating), function(df) {
nums <- tapply(df$length, df$year, length)
data.frame(rating=round(df$rating[1]), year = as.numeric(names(nums)), number=as.vector(nums))
}))
p <- ggplot(mry, aes(x=year, y=number, group=rating))
p + geom_line()
# Add aesthetic mappings
p + geom_line(aes(size = rating))
p + geom_line(aes(colour = rating))
# Change scale
p + geom_line(aes(colour = rating)) + scale_colour_gradient(low="red")
p + geom_line(aes(size = rating)) + scale_size(range = c(0.1, 3))
# Set aesthetics to fixed value
p + geom_line(colour = "red", size = 1)
# Use qplot instead
qplot(year, number, data=mry, group=rating, geom="line")
# Using a time series
qplot(date, pop, data=economics, geom="line")
qplot(date, pop, data=economics, geom="line", log="y")
qplot(date, pop, data=subset(economics, date > as.Date("2006-1-1")), geom="line")
qplot(date, pop, data=economics, size=unemploy/pop, geom="line")
# Use the arrow parameter to add an arrow to the line
# See ?grid::arrow for more details
c <- ggplot(economics, aes(x = date, y = pop))
# Arrow defaults to "last"
library(grid)
c + geom_line(arrow = arrow())
c + geom_line(arrow = arrow(angle = 15, ends = "both", type = "closed"))
# See scale_date for examples of plotting multiple times series on
# a single graph
# A simple pcp example
y2005 <- runif(300, 20, 120)
y2010 <- y2005 * runif(300, -1.05, 1.5)
group <- rep(LETTERS[1:3], each = 100)
df <- data.frame(id = seq_along(group), group, y2005, y2010)
library(reshape2) # for melt
dfm <- melt(df, id.var = c("id", "group"))
ggplot(dfm, aes(variable, value, group = id, colour = group)) +
geom_path(alpha = 0.5)
}
\seealso{
\code{\link{geom_path}}: connect observations in data
order, \code{\link{geom_segment}}: draw line segments,
\code{\link{geom_ribbon}}: fill between line and x-axis
}
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