ggplot(mpg, aes(displ, hwy)) +
geom_point() +
facet_wrap(~class)
# Control the number of rows and columns with nrow and ncol
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
facet_wrap(~class, nrow = 4)
# You can facet by multiple variables
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
facet_wrap(~ cyl + drv)
# Or use a character vector:
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
facet_wrap(c("cyl", "drv"))
# Use the `labeller` option to control how labels are printed:
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
facet_wrap(c("cyl", "drv"), labeller = "label_both")
# To change the order in which the panels appear, change the levels
# of the underlying factor.
mpg$class2 <- reorder(mpg$class, mpg$displ)
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
facet_wrap(~class2)
# By default, the same scales are used for all panels. You can allow
# scales to vary across the panels with the `scales` argument.
# Free scales make it easier to see patterns within each panel, but
# harder to compare across panels.
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
facet_wrap(~class, scales = "free")
# To repeat the same data in every panel, simply construct a data frame
# that does not contain the facetting variable.
ggplot(mpg, aes(displ, hwy)) +
geom_point(data = transform(mpg, class = NULL), colour = "grey85") +
geom_point() +
facet_wrap(~class)
# Use `strip.position` to display the facet labels at the side of your
# choice. Setting it to `bottom` makes it act as a subtitle for the axis.
# This is typically used with free scales and a theme without boxes around
# strip labels.
ggplot(economics_long, aes(date, value)) +
geom_line() +
facet_wrap(~variable, scales = "free_y", nrow = 2, strip.position = "bottom") +
theme(strip.background = element_blank(), strip.placement = "outside")
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