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 more details
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

(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()

# 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))
Warning message: Removed 58018 rows containing missing values (geom_point).

# * axis labels qplot(rating, votes, data=movies, xlab="My x axis", ylab="My y axis")

# * log scaling qplot(rating, votes, data=movies, log="xy")