facet_wrap_color: Wrap a 1d ribbon of panels into 2d with colored strips

View source: R/facet_color.R

facet_wrap_colorR Documentation

Wrap a 1d ribbon of panels into 2d with colored strips

Description

facet_wrap_color behaves similarly to ggplot2::facet_wrap() in that it wraps a 1d sequence of panels into 2d. The main difference is that it also allows the user to specify the background colors of the individual facet strips using the colors argument. This is generally a better use of screen space than facet_grid_color() because most displays are roughly rectangular.

Usage

facet_wrap_color(
  facets,
  nrow = NULL,
  ncol = NULL,
  scales = "fixed",
  shrink = TRUE,
  labeller = "label_value",
  colors = stages,
  as.table = TRUE,
  drop = TRUE,
  dir = "h",
  strip.position = "top",
  axes = "margins",
  axis.labels = "all"
)

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 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.

colors

Specifies which colors to use to replace the strip backgrounds. Either A) a function that returns a color for a given strip label, B) the character name of a function that does the same, C) a named character vector with names matching strip labels and values indicating the desired colors, or D) a data.frame representing a lookup table with columns named "name" (matching strip labels) and "color" (indicating desired colors). If the function returns

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.

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")

axes

Determines which axes will be drawn in case of fixed scales. When "margins" (default), axes will be drawn at the exterior margins. "all_x" and "all_y" will draw the respective axes at the interior panels too, whereas "all" will draw all axes at all panels. Only works for ggplot2 version 3.5.0 and later.

axis.labels

Determines whether to draw labels for interior axes when the scale is fixed and the axis argument is not "margins". When "all" (default), all interior axes get labels. When "margins", only the exterior axes get labels, and the interior axes get none. When "all_x" or "all_y", only draws the labels at the interior axes in the x- or y-direction respectively. Only works for ggplot2 version 3.5.0 and later.

Examples

library(ggplot2)
df <- data.frame(x = 1:10, y = 1:10, period = c("Permian", "Triassic"))
ggplot(df) +
  geom_point(aes(x, y)) +
  facet_wrap_color(vars(period), colors = periods)

willgearty/deeptime documentation built on April 5, 2024, 3:24 a.m.