\name{scale_x_continuous}
\alias{scale_x_continuous}
\alias{scale_x_log10}
\alias{scale_x_reverse}
\alias{scale_x_sqrt}
\alias{scale_y_continuous}
\alias{scale_y_log10}
\alias{scale_y_reverse}
\alias{scale_y_sqrt}
\title{Continuous position scales (x & y).}
\usage{
  scale_x_continuous(..., expand = waiver())

  scale_y_continuous(..., expand = waiver())

  scale_x_log10(...)

  scale_y_log10(...)

  scale_x_reverse(...)

  scale_y_reverse(...)

  scale_x_sqrt(...)

  scale_y_sqrt(...)
}
\arguments{
  \item{...}{common continuous scale parameters:
  \code{name}, \code{breaks}, \code{labels},
  \code{na.value}, \code{limits} and \code{trans}.  See
  \code{\link{continuous_scale}} for more details}

  \item{expand}{a numeric vector of length two giving
  multiplicative and additive expansion constants. These
  constants ensure that the data is placed some distance
  away from the axes.}
}
\description{
  Continuous position scales (x & y).
}
\examples{
\donttest{
(m <- qplot(rating, votes, data=subset(movies, votes > 1000),
  na.rm = TRUE))

# 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 a few built in transformation that you can use:
m + scale_y_log10()
m + scale_y_sqrt()
m + scale_y_reverse()
# You can also create your own and supply them to the trans argument.
# See ?scale::trans_new

# You can control the formatting of the labels with the formatter
# argument.  Some common formats are built into the scales package:
x <- rnorm(10) * 100000
y <- seq(0, 1, length = 10)
p <- qplot(x, y)
library(scales)
p + scale_y_continuous(labels = percent)
p + scale_y_continuous(labels = dollar)
p + scale_x_continuous(labels = 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")
}
}
\seealso{
  Other position scales: \code{\link{scale_x_date}},
  \code{\link{scale_x_datetime}},
  \code{\link{scale_x_discrete}},
  \code{\link{scale_y_date}},
  \code{\link{scale_y_datetime}},
  \code{\link{scale_y_discrete}}
}

