ggplot2 (version 0.9.1)

scale_x_continuous: Continuous position scales (x & y).

Description

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

...

common continuous scale parameters: name, breaks, labels, na.value, limits and trans. See continuous_scale for m

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.

See Also

Other position scales: scale_x_date, scale_x_datetime, scale_x_discrete, scale_y_date, scale_y_datetime, scale_y_discrete

Examples

(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 you 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")