R: One-dimensional facets

facet_row {ggforce} | R Documentation

## One-dimensional facets

### Description

These facets are one-dimensional versions of `ggplot2::facet_wrap()`, arranging the panels in either a single row or a single column. This restriction makes it possible to support a `space` argument as seen in `ggplot2::facet_grid()` which, if set to `"free"` will allow the panels to be sized based on the relative range of their scales. Another way of thinking about them are one-dimensional versions of `ggplot2::facet_grid()` (ie. `. ~ {var}` or `{var} ~ .`), but with the ability to position the strip at either side of the panel. However you look at it it is the best of both world if you just need one dimension.

### Usage

    facet_row(
      facets,
      scales = "fixed",
      space = "fixed",
      shrink = TRUE,
      labeller = "label_value",
      drop = TRUE,
      strip.position = "top"
    )

    facet_col(
      facets,
      scales = "fixed",
      space = "fixed",
      shrink = TRUE,
      labeller = "label_value",
      drop = TRUE,
      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")`.
`scales` | Should scales be fixed (`"fixed"`, the default), free (`"free"`), or free in one dimension (`"free_x"`, `"free_y"`)?
`space` | Should the size of the panels be fixed or relative to the range of the respective position scales
`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 `vars(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()`. You can use different labeling functions for different kind of labels, for example use `label_parsed()` for formatting facet labels. `label_value()` is used by default, check it for more details and pointers to other options.
`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.
`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

    # Standard use
    ggplot(mtcars) +
      geom_point(aes(disp, mpg)) +
      facet_col(~gear)
    # It retains the ability to have unique scales for each panel
    ggplot(mtcars) +
      geom_point(aes(disp, mpg)) +
      facet_col(~gear, scales = 'free')

    # But can have free sizing along the stacking dimension
    ggplot(mtcars) +
      geom_point(aes(disp, mpg)) +
      facet_col(~gear, scales = 'free', space = 'free')

    # And you can position the strip where-ever you like
    ggplot(mtcars) +
      geom_point(aes(disp, mpg)) +
      facet_col(~gear, scales = 'free', space = 'free', strip.position = 'bottom')

[Package ggforce version 0.3.3 Index]