facet_wrap: Wrap a 1d ribbon of panels into 2d

Description

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.

Usage

facet_wrap(facets, nrow = NULL, ncol = NULL, scales = "fixed", shrink = TRUE, labeller = "label_value", as.table = TRUE, switch = NULL, drop = TRUE, dir = "h", strip.position = "top")

Arguments

facets

A set of variables or expressions quoted by vars() and defining faceting groups on the rows or columns dimension. The variables can be named (the names are passed to labeller).

For compatibility with the classic interface, can also be a formula or character vector. Use either a one sided formula, ~a + b, or a character vector, c("a", "b").

nrow, ncol

Number of rows and columns.

scales

Should scales be fixed ("fixed", the default), free ("free"), or free in one dimension ("free_x", "free_y")?

shrink

If TRUE, will shrink scales to fit output of statistics, not raw data. If FALSE, will be range of raw data before statistical summary.

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 ~cyl + am. Each output column gets displayed as one separate line in the strip label. This function should inherit from the "labeller" S3 class for compatibility with labeller(). See label_value() for more details and pointers to other options.

as.table

If TRUE, the default, the facets are laid out like a table with highest values at the bottom-right. If FALSE, the facets are laid out like a plot with the highest value at the top-right.

switch

By default, the labels are displayed on the top and right of the plot. If "x", the top labels will be displayed to the bottom. If "y", the right-hand side labels will be displayed to the left. Can also be set to "both".

drop

If TRUE, the default, all factor levels not used in the data will automatically be dropped. If FALSE, all factor levels will be shown, regardless of whether or not they appear in the data.

dir

Direction: either "h" for horizontal, the default, or "v", for vertical.

strip.position

By default, the labels are displayed on the top of the plot. Using strip.position it is possible to place the labels on either of the four sides by setting strip.position = c("top", "bottom", "left", "right")

Examples

Run this code

# NOT RUN { p <- ggplot(mpg, aes(displ, hwy)) + geom_point()  # Use vars() to supply faceting variables: p + facet_wrap(vars(class))  # The historical interface with formulas is also available: p + facet_wrap(~class)  # Control the number of rows and columns with nrow and ncol p + facet_wrap(vars(class), nrow = 4)  # } # NOT RUN { # 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(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 faceting 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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