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Discretized colourbar guide

Source: R/guide-colorsteps.R
guide_coloursteps.Rd

This guide is version of guide_colourbar() for binned colour and fill scales. It shows areas between breaks as a single constant colour instead of the gradient known from the colourbar counterpart.

Usage

guide_coloursteps(
  title = waiver(),
  theme = NULL,
  alpha = NA,
  angle = NULL,
  even.steps = TRUE,
  show.limits = NULL,
  direction = NULL,
  position = NULL,
  reverse = FALSE,
  order = 0,
  available_aes = c("colour", "color", "fill"),
  ...
)

guide_colorsteps(
  title = waiver(),
  theme = NULL,
  alpha = NA,
  angle = NULL,
  even.steps = TRUE,
  show.limits = NULL,
  direction = NULL,
  position = NULL,
  reverse = FALSE,
  order = 0,
  available_aes = c("colour", "color", "fill"),
  ...
)

Arguments

title

A character string or expression indicating a title of guide. If NULL, the title is not shown. By default (waiver()), the name of the scale object or the name specified in labs() is used for the title.

theme

A theme object to style the guide individually or differently from the plot's theme settings. The theme argument in the guide overrides, and is combined with, the plot's theme.

alpha

A numeric between 0 and 1 setting the colour transparency of the bar. Use NA to preserve the alpha encoded in the colour itself (default).

angle

Overrules the theme settings to automatically apply appropriate hjust and vjust for angled legend text. Can be a single number representing the text angle in degrees, or NULL to not overrule the settings (default).

even.steps

Should the rendered size of the bins be equal, or should they be proportional to their length in the data space? Defaults to TRUE

show.limits

Logical. Should the limits of the scale be shown with labels and ticks. Default is NULL meaning it will take the value from the scale. This argument is ignored if labels is given as a vector of values. If one or both of the limits is also given in breaks it will be shown irrespective of the value of show.limits.

direction

A character string indicating the direction of the guide. One of "horizontal" or "vertical."

position

A character string indicating where the legend should be placed relative to the plot panels.

reverse

logical. If TRUE the colourbar is reversed. By default, the highest value is on the top and the lowest value is on the bottom

order

positive integer less than 99 that specifies the order of this guide among multiple guides. This controls the order in which multiple guides are displayed, not the contents of the guide itself. If 0 (default), the order is determined by a secret algorithm.

available_aes

A vector of character strings listing the aesthetics for which a colourbar can be drawn.

...

ignored.

Value

A guide object

Use with discrete scale

This guide is intended to show binned data and work together with ggplot2's binning scales. However, it is sometimes desirable to perform the binning in a separate step, either as part of a stat (e.g. stat_contour_filled()) or prior to the visualisation. If you want to use this guide for discrete data the levels must follow the naming scheme implemented by base::cut(). This means that a bin must be encoded as "(<lower>, <upper>]" with <lower> giving the lower bound of the bin and <upper> giving the upper bound ("[<lower>, <upper>)" is also accepted). If you use base::cut() to perform the binning everything should work as expected, if not, some recoding may be needed.

See also

The binned legend section of the online ggplot2 book.

Other guides: guide_bins(), guide_colourbar(), guide_legend(), guides()

Examples

df <- expand.grid(X1 = 1:10, X2 = 1:10)
df$value <- df$X1 * df$X2

p <- ggplot(df, aes(X1, X2)) + geom_tile(aes(fill = value))

# Coloursteps guide is the default for binned colour scales
p + scale_fill_binned()


# By default each bin in the guide is the same size irrespectively of how
# their sizes relate in data space
p + scale_fill_binned(breaks = c(10, 25, 50))


# This can be changed with the `even.steps` argument
p + scale_fill_binned(
  breaks = c(10, 25, 50),
  guide = guide_coloursteps(even.steps = FALSE)
)


# By default the limits is not shown, but this can be changed
p + scale_fill_binned(guide = guide_coloursteps(show.limits = TRUE))


# (can also be set in the scale)
p + scale_fill_binned(show.limits = TRUE)