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)