facet_grid {ggplot2} | R Documentation

## Lay out panels in a grid.

### Description

Lay out panels in a grid.

### Usage

    facet_grid(facets, margins = FALSE, scales = "fixed", space = "fixed",
      shrink = TRUE, labeller = "label_value", as.table = TRUE,
      switch = NULL, drop = TRUE)

### Arguments

`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 `FALSE`, no additional facets are included (the default). If `TRUE`, margins are included for all faceting variables. If specified as a character vector, it is the names of variables for which margins are to be created.
`scales` | Are scales shared across all facets (the default, `"fixed"`), or do they vary across rows (`"free_x"`), columns (`"free_y"`), or both rows and columns (`"free"`)
`space` | If `"fixed"`, the default, all panels have the same size. If `"free_y"` their height will be proportional to the length of the y scale; if `"free_x"` their width will be proportional to the length of the x scale; or if `"free"` both height and width will vary. This setting has no effect unless the appropriate scales also vary.
`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.

### Examples

    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"))

[Package ggplot2 version 2.1.0 Index]