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\name{scale_continuous}
\alias{scale_continuous}
\alias{scale_x_continuous}
\alias{scale_y_continuous}
\alias{ScaleContinuous}
\title{scale\_continuous}
\description{Continuous position scale}
\details{
This page describes scale\_continuous, see \code{\link{layer}} and \code{\link{qplot}} for how to create a complete plot from individual components.
}
\usage{scale_x_continuous(name = NULL, limits = NULL, breaks = NULL,
labels = NULL, trans = NULL, expand = c(0.05, 0), minor_breaks = NULL,
formatter = "scientific", legend = TRUE, ...)}
\arguments{
\item{name}{name of scale to appear in legend or on axis. Maybe be an expression: see ?plotmath}
\item{limits}{numeric vector of length 2, giving the extent of the scale}
\item{breaks}{numeric vector indicating where breaks should lie}
\item{labels}{character vector giving labels associated with breaks}
\item{trans}{a transformer to use}
\item{expand}{numeric vector of length 2, giving multiplicative and additive expansion factors}
\item{minor_breaks}{NULL}
\item{formatter}{NULL}
\item{legend}{NULL}
\item{...}{ignored }
}
\seealso{\itemize{
\item \code{\link{scale_discrete}}: Discrete position scales
\item \url{http://had.co.nz/ggplot2/scale_continuous.html}
}}
\value{A \code{\link{layer}}}
\examples{\dontrun{
(m <- qplot(rating, votes, data=subset(movies, votes > 1000), na.rm = T))
# Manipulating the default position scales lets you:
# * change the axis labels
m + scale_y_continuous("number of votes")
m + scale_y_continuous(expression(votes^alpha))
# * modify the axis limits
m + scale_y_continuous(limits=c(0, 5000))
m + scale_y_continuous(limits=c(1000, 10000))
m + scale_x_continuous(limits=c(7, 8))
# you can also use the short hand functions xlim and ylim
m + ylim(0, 5000)
m + ylim(1000, 10000)
m + xlim(7, 8)
# * choose where the ticks appear
m + scale_x_continuous(breaks=1:10)
m + scale_x_continuous(breaks=c(1,3,7,9))
# * manually label the ticks
m + scale_x_continuous(breaks=c(2,5,8), labels=c("two", "five", "eight"))
m + scale_x_continuous(breaks=c(2,5,8), labels=c("horrible", "ok", "awesome"))
m + scale_x_continuous(breaks=c(2,5,8), labels=expression(Alpha, Beta, Omega))
# There are also a wide range of transformations you can use:
m + scale_y_log10()
m + scale_y_log()
m + scale_y_log2()
m + scale_y_sqrt()
m + scale_y_reverse()
# see ?transformer for a full list
# You can control the formatting of the labels with the formatter
# argument. Some common formats are built in:
x <- rnorm(10) * 100000
y <- seq(0, 1, length = 10)
p <- qplot(x, y)
p + scale_y_continuous(formatter = "percent")
p + scale_y_continuous(formatter = "dollar")
p + scale_x_continuous(formatter = "comma")
# qplot allows you to do some of this with a little less typing:
# * axis limits
qplot(rating, votes, data=movies, ylim=c(1e4, 5e4))
# * axis labels
qplot(rating, votes, data=movies, xlab="My x axis", ylab="My y axis")
# * log scaling
qplot(rating, votes, data=movies, log="xy")
}}
\author{Hadley Wickham, \url{http://had.co.nz/}}
\keyword{hplot}
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