| scale_continuous {ggplot2} | R Documentation |
Continuous position scale
scale_x_continuous(name=NULL, limits=c(NA, NA), breaks=NULL, labels=NULL, trans="identity", expand=c(0.05, 0), ...) scale_y_continuous(name=NULL, limits=c(NA, NA), breaks=NULL, labels=NULL, trans="identity", expand=c(0.05, 0), ...) scale_z_continuous(name=NULL, limits=c(NA, NA), breaks=NULL, labels=NULL, trans="identity", expand=c(0.05, 0), ...) scale_xend_continuous(name=NULL, limits=c(NA, NA), breaks=NULL, labels=NULL, trans="identity", expand=c(0.05, 0), ...) scale_yend_continuous(name=NULL, limits=c(NA, NA), breaks=NULL, labels=NULL, trans="identity", expand=c(0.05, 0), ...)
name |
name of scale to appear in legend or on axis |
limits |
numeric vector of length 2, giving the extent of the scale |
breaks |
numeric vector indicating where breaks should lie |
labels |
character vector giving labels associated with breaks |
trans |
a transformer to use |
expand |
numeric vector of length 2, giving multiplicative and additive expansion factors |
... |
ignored |
This page describes scale_continuous, see layer and qplot for how to create a complete plot from individual components.
A layer
Hadley Wickham, http://had.co.nz/
scale_discrete: Discrete position scales
## Not run:
(m <- qplot(rating, votes, data=movies))
# 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(NA, 5000))
m + scale_y_continuous(limits=c(1000, NA))
m + scale_x_continuous(limits=c(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(1,5,10), labels=c("one", "five", "ten"))
m + scale_x_continuous(breaks=c(1,5,10), labels=c("horrible", "ok", "awesome"))
m + scale_x_continuous(breaks=c(1,5,10), 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()
# see ?transformer for a full list
# qplot allows you to do some of this with a little less typing:
# * axis limits
qplot(rating, votes, data=movies, xlim=c(5,10), ylim=c(50000, NA))
# * axis labels
qplot(rating, votes, data=movies, xlab="My x axis", ylab="My y axis")
# * log scaling
qplot(rating, votes, data=movies, log="xy")
## End(Not run)