facet_wrap | R Documentation |
facet_wrap()
wraps a 1d sequence of panels into 2d. This is generally
a better use of screen space than facet_grid()
because most
displays are roughly rectangular.
facet_wrap(
facets,
nrow = NULL,
ncol = NULL,
scales = "fixed",
space = "fixed",
shrink = TRUE,
labeller = "label_value",
as.table = TRUE,
switch = deprecated(),
drop = TRUE,
dir = "h",
strip.position = "top",
axes = "margins",
axis.labels = "all"
)
facets |
A set of variables or expressions quoted by For compatibility with the classic interface, can also be a
formula or character vector. Use either a one sided formula, |
nrow , ncol |
Number of rows and columns. |
scales |
Should scales be fixed ( |
space |
If |
shrink |
If |
labeller |
A function that takes one data frame of labels and
returns a list or data frame of character vectors. Each input
column corresponds to one factor. Thus there will be more than
one with |
as.table |
If |
switch |
By default, the labels are displayed on the top and
right of the plot. If |
drop |
If |
dir |
Direction: either |
strip.position |
By default, the labels are displayed on the top of
the plot. Using |
axes |
Determines which axes will be drawn in case of fixed scales.
When |
axis.labels |
Determines whether to draw labels for interior axes when
the scale is fixed and the |
The layer(layout)
argument in context of facet_wrap()
can take
the following values:
NULL
(default) to use the faceting variables to assign panels.
An integer vector to include selected panels. Panel numbers not included in the integer vector are excluded.
"fixed"
to repeat data across every panel.
The facet wrap section of the online ggplot2 book.
p <- ggplot(mpg, aes(displ, hwy)) + geom_point()
# Use vars() to supply faceting variables:
p + facet_wrap(vars(class))
# Control the number of rows and columns with nrow and ncol
p + facet_wrap(vars(class), nrow = 4)
# You can facet by multiple variables
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
facet_wrap(vars(cyl, drv))
# Use the `labeller` option to control how labels are printed:
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
facet_wrap(vars(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(vars(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(vars(class), scales = "free")
# When scales are constant, duplicated axes can be shown with
# or without labels
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
facet_wrap(vars(class), axes = "all", axis.labels = "all_y")
# To repeat the same data in every panel, simply construct a data frame
# that does not contain the faceting variable.
ggplot(mpg, aes(displ, hwy)) +
geom_point(data = transform(mpg, class = NULL), colour = "grey85") +
geom_point() +
facet_wrap(vars(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(vars(variable), scales = "free_y", nrow = 2, strip.position = "top") +
theme(strip.background = element_blank(), strip.placement = "outside")
# The two letters determine the starting position, so 'tr' starts
# in the top-right.
# The first letter determines direction, so 'tr' fills top-to-bottom.
# `dir = "tr"` is equivalent to `dir = "v", as.table = FALSE`
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
facet_wrap(vars(class), dir = "tr")
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