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.

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 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))

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")

See also