facet_grid | R Documentation |
Lay out panels in a grid.
facet_grid(
facets,
margins = FALSE,
scales = "fixed",
space = "fixed",
shrink = TRUE,
labeller = "label_value",
as.table = TRUE,
switch = NULL,
drop = TRUE
)
facets |
a formula with the rows (of the tabular display) on the LHS and the columns (of the tabular display) on the RHS; the dot in the formula is used to indicate there should be no faceting on this dimension (either row or column). The formula can also be provided as a string instead of a classical formula object |
margins |
either a logical value or a character
vector. Margins are additional facets which contain all the data
for each of the possible values of the faceting variables. If
|
scales |
Are scales shared across all facets (the default,
|
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 formulae of the type |
as.table |
If |
switch |
By default, the labels are displayed on the top and
right of the plot. If |
drop |
If |
p <- ggplot(mpg, aes(displ, cty)) + geom_point()
p + facet_grid(. ~ cyl)
p + facet_grid(drv ~ .)
p + facet_grid(drv ~ cyl)
# To change plot order of facet grid,
# change the order of variable levels with factor()
# If you combine a facetted dataset with a dataset that lacks those
# facetting variables, the data will be repeated across the missing
# combinations:
df <- data.frame(displ = mean(mpg$displ), cty = mean(mpg$cty))
p +
facet_grid(. ~ cyl) +
geom_point(data = df, colour = "red", size = 2)
# Free scales -------------------------------------------------------
# You can also choose whether the scales should be constant
# across all panels (the default), or whether they should be allowed
# to vary
mt <- ggplot(mtcars, aes(mpg, wt, colour = factor(cyl))) +
geom_point()
mt + facet_grid(. ~ cyl, scales = "free")
# If scales and space are free, then the mapping between position
# and values in the data will be the same across all panels. This
# is particularly useful for categorical axes
ggplot(mpg, aes(drv, model)) +
geom_point() +
facet_grid(manufacturer ~ ., scales = "free", space = "free") +
theme(strip.text.y = element_text(angle = 0))
# Facet labels ------------------------------------------------------
p <- ggplot(mtcars, aes(wt, mpg)) + geom_point()
p
# label_both() displays both variable name and value
p + facet_grid(vs ~ cyl, labeller = label_both)
# label_parsed() parses text into mathematical expressions, see ?plotmath
mtcars$cyl2 <- factor(mtcars$cyl, labels = c("alpha", "beta", "sqrt(x, y)"))
ggplot(mtcars, aes(wt, mpg)) +
geom_point() +
facet_grid(. ~ cyl2, labeller = label_parsed)
# label_bquote() makes it easy to construct math expressions
p + facet_grid(. ~ vs, labeller = label_bquote(cols = alpha ^ .(vs)))
# The facet strips can be displayed near the axes with switch
data <- transform(mtcars,
am = factor(am, levels = 0:1, c("Automatic", "Manual")),
gear = factor(gear, levels = 3:5, labels = c("Three", "Four", "Five"))
)
p <- ggplot(data, aes(mpg, disp)) + geom_point()
p + facet_grid(am ~ gear, switch = "both")
# It looks better without boxes around the strips
p + facet_grid(am ~ gear, switch = "both") +
theme(strip.background = element_blank())
# Margins ----------------------------------------------------------
# Margins can be specified by logically (all yes or all no) or by specific
# variables as (character) variable names
mg <- ggplot(mtcars, aes(x = mpg, y = wt)) + geom_point()
mg + facet_grid(vs + am ~ gear)
mg + facet_grid(vs + am ~ gear, margins = TRUE)
mg + facet_grid(vs + am ~ gear, margins = "am")
# when margins are made over "vs", since the facets for "am" vary
# within the values of "vs", the marginal facet for "vs" is also
# a margin over "am".
mg + facet_grid(vs + am ~ gear, margins = "vs")
mg + facet_grid(vs + am ~ gear, margins = "gear")
mg + facet_grid(vs + am ~ gear, margins = c("gear", "am"))
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