scale_discrete {ggplot2} | R Documentation |
Discrete position scale
scale_x_discrete(name=NULL, expand=c(0.05, 0.55), limits=NULL, breaks=NULL, labels=NULL, formatter=identity, ...) scale_y_discrete(name=NULL, expand=c(0.05, 0.55), limits=NULL, breaks=NULL, labels=NULL, formatter=identity, ...) scale_z_discrete(name=NULL, expand=c(0.05, 0.55), limits=NULL, breaks=NULL, labels=NULL, formatter=identity, ...)
name |
name of scale to appear in legend or on axis. Maybe be an expression: see ?plotmath |
expand |
numeric vector of length 2, giving multiplicative and additive expansion factors |
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 |
formatter |
NULL |
... |
ignored |
This page describes scale_discrete, see layer
and qplot
for how to create a complete plot from individual components.
A layer
Hadley Wickham, http://had.co.nz/
## Not run: qplot(cut, data=diamonds, stat="bin") qplot(cut, data=diamonds, geom="bar") # The discrete position scale is added automatically whenever you # have a discrete position. (d <- qplot(cut, clarity, data=subset(diamonds, carat > 1), geom="jitter")) d + scale_x_discrete("Cut") d + scale_x_discrete("Cut", labels=c("F","G","VG","P","I")) d + scale_y_discrete("Clarity") d + scale_x_discrete("Cut") + scale_y_discrete("Clarity") # Use limits to adjust the which levels (and in what order) # are displayed d + scale_x_discrete(limits=c("Fair","Ideal")) # you can also use the short hand functions xlim and ylim d + xlim("Fair","Ideal", "Good") d + ylim("I1", "IF") # See ?reorder to reorder based on the values of another variable qplot(manufacturer, cty, data=mpg) qplot(reorder(manufacturer, cty), cty, data=mpg) qplot(reorder(manufacturer, displ), cty, data=mpg) # Use abbreviate as a formatter to reduce long names qplot(reorder(manufacturer, cty), cty, data=mpg) + scale_x_discrete(formatter = "abbreviate") ## End(Not run)