discrete_scale: Discrete scale constructor.
In animint2: Animated Interactive Grammar of Graphics

discrete_scale

R Documentation

Discrete scale constructor.

Description

Discrete scale constructor.

Usage

discrete_scale(
  aesthetics,
  scale_name,
  palette,
  name = waiver(),
  breaks = waiver(),
  labels = waiver(),
  limits = NULL,
  expand = waiver(),
  na.value = NA,
  drop = TRUE,
  guide = "legend"
)

Arguments

`aesthetics`	the names of the aesthetics that this scale works with
`scale_name`	the name of the scale
`palette`	a palette function that when called with a single integer argument (the number of levels in the scale) returns the values that they should take
`name`	the name of the scale - used as the axis label or the legend title
`breaks`	control the breaks in the guide. There are four possible types of input: `NULL`: don't display any breaks a character vector giving the breaks as they should appear on the axis or in the legend. `waiver()` to use the default break computation. a function, that when called with a single argument, a character vector giving the limits of the scale, returns a character vector specifying which breaks to display. This parameter does not affect in any way how the data is scaled - it only affects the appearance of the legend.
`labels`	`NULL` for no labels, `waiver()` for default labels (labels the same as breaks), a character vector the same length as breaks, or a named character vector whose names are used to match replacement the labels for matching breaks.
`limits`	A character vector specifying the data range for the scale. and the default order of their display in guides.
`expand`	a numeric vector of length two, giving a multiplicative and additive constant used to expand the range of the scales so that there is a small gap between the data and the axes. The defaults are (0,0.6) for discrete scales and (0.05,0) for continuous scales.
`na.value`	how should missing values be displayed?
`drop`	Should unused factor levels be omitted from the scale? The default, `TRUE`, uses the levels that appear in the data; `FALSE` uses all the levels in the factor.
`guide`	the name of, or actual function, used to create the guide. See `guides` for more info.