Package 'palettes' reference manual

Title:	Methods for Colour Vectors and Colour Palettes
Description:	Provides a comprehensive library for colour vectors and colour palettes using a new family of colour classes (palettes_colour and palettes_palette) that always print as hex codes with colour previews. Capabilities include: formatting, casting and coercion, extraction and updating of components, plotting, colour mixing arithmetic, and colour interpolation.
Authors:	Michael McCarthy [aut, cre, cph]
Maintainer:	Michael McCarthy <[email protected]>
License:	MIT + file LICENSE
Version:	0.2.1.9000
Built:	2024-12-17 05:13:19 UTC
Source:	https://github.com/mccarthy-m-g/palettes

Cast colour vectors and colour palettes to tibbles

Description

as_tibble() turns an existing colour vector or colour palette into a so-called tibble, a data frame with class tbl_df.

Usage

## S3 method for class 'palettes_colour'
as_tibble(x, ...)

## S3 method for class 'palettes_palette'
as_tibble(x, ...)
## S3 method for class 'palettes_colour'
as_tibble(x, ...)

## S3 method for class 'palettes_palette'
as_tibble(x, ...)

Arguments

`x`	An object of class `palettes_palette` or `palettes_colour`.
`...`	Not used.

Value

A tibble. The output has the following properties:

For objects of class palettes_colour: A tibble with column colour containing the colour vector.
For objects of class palettes_palette: A tibble with columns palette and colour containing palette names and colour vectors.

Examples

x <- pal_colour(c("#663171", "#EA7428", "#0C7156"))
as_tibble(x)

y <- pal_palette(
  Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"),
  Java  = c("#663171", "#CF3A36", "#EA7428", "#E2998A", "#0C7156")
)
as_tibble(y)
x <- pal_colour(c("#663171", "#EA7428", "#0C7156"))
as_tibble(x)

y <- pal_palette(
  Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"),
  Java  = c("#663171", "#CF3A36", "#EA7428", "#E2998A", "#0C7156")
)
as_tibble(y)

Cartography palettes

Description

Discrete, sequential, and diverging palettes created by cartographers.

Usage

discrete_palettes

sequential_palettes

diverging_palettes
discrete_palettes

sequential_palettes

diverging_palettes

Format

`discrete_palettes`

An object of class palettes_palette with 7 colour palettes. Use names(discrete_palettes) to return all palette names.

`sequential_palettes`

An object of class palettes_palette with 19 colour palettes. Use names(sequential_palettes) to return all palette names.

`diverging_palettes`

An object of class palettes_palette with 7 colour palettes. Use names(diverging_palettes) to return all palette names.

Source

https://github.com/CartoDB/CartoColor/

Examples

# Get all palettes by name.
names(discrete_palettes)
names(sequential_palettes)
names(diverging_palettes)

# Plot all palettes.
plot(discrete_palettes)
plot(sequential_palettes)
plot(diverging_palettes)
# Get all palettes by name.
names(discrete_palettes)
names(sequential_palettes)
names(diverging_palettes)

# Plot all palettes.
plot(discrete_palettes)
plot(sequential_palettes)
plot(diverging_palettes)

Mix colour vectors with arithmetic operators

Description

These binary operators mix colour vectors with arithmetic operators.

Usage

## S3 method for class 'palettes_colour'
e1 + e2
## S3 method for class 'palettes_colour'
e1 + e2

Arguments

e1, e2

Colour vectors of class palettes_colour.

Value

The binary operators return colour vectors of class palettes_colour containing the result of the element by element operations. If involving a zero-length vector the result has length zero. Otherwise, the elements of shorter vectors are recycled as necessary. The + operator is for additive colour mixing.

Examples

x <- pal_colour("red")
y <- pal_colour("blue")
x + y
x <- pal_colour("red")
y <- pal_colour("blue")
x + y

Mix colour vectors with math functions

Description

These functions mix colour vectors with math functions.

Usage

## S3 method for class 'palettes_colour'
sum(..., na.rm = FALSE)

## S3 method for class 'palettes_colour'
cumsum(x)
## S3 method for class 'palettes_colour'
sum(..., na.rm = FALSE)

## S3 method for class 'palettes_colour'
cumsum(x)

Arguments

`...`	Colour vectors of class `palettes_colour`.
`na.rm`	Whether to include missing values. Either `TRUE` or `FALSE`.
`x`	An object of class `palettes_colour`.

Value

These functions return colour vectors of class palettes_colour:

sum() returns the sum of all the colours present in its arguments with additive colour mixing.
cumsum() returns a vector whose elements are the cumulative sums of the elements of the argument with additive colour mixing.

Examples

x <- pal_colour(c("red", "blue"))
sum(x)

x <- pal_colour(c("red", "blue", "yellow"))
cumsum(x)
x <- pal_colour(c("red", "blue"))
sum(x)

x <- pal_colour(c("red", "blue", "yellow"))
cumsum(x)

Symbols to use in colour previews

Description

List the symbols available to use in colour previews.

Usage

list_colour_symbols()
list_colour_symbols()

Details

By default, Unicode characters are used for symbols in colour previews in UTF-8 supported outputs. They automatically fall back to ASCII characters when the output does not support them.

To change the symbol used for colour previews, set the palettes.print_symbol option to a symbol name listed in list_colour_symbols().

Value

This function is called for its side effects and has no return value.

Examples

list_colour_symbols()
list_colour_symbols()

Metropolitan Museum of Art palettes

Description

Palettes inspired by works at the Metropolitan Museum of Art in New York. Pieces selected come from various time periods, regions, and mediums.

Usage

met_palettes

met_palettes_a11y
met_palettes

met_palettes_a11y

Format

`met_palettes`

An object of class palettes_palette with 56 colour palettes. Use names(met_palettes) to return all palette names.

`met_palettes_a11y`

An object of class palettes_palette limited to 24 colourblind accessible palettes. All colours in each palette are distinguishable with deuteranopia, protanopia, and tritanopia. Use names(met_palettes_a11y) to return all palette names.

Author(s)

Blake Robert Mills

Source

https://github.com/BlakeRMills/MetBrewer

Examples

# Get all palettes by name.
names(met_palettes)

# Plot all palettes.
plot(met_palettes)
# Get all palettes by name.
names(met_palettes)

# Plot all palettes.
plot(met_palettes)

Nord palettes

Description

Dimmed pastel palettes inspired by the Arctic and Canadian wilderness.

Usage

nord_palettes
nord_palettes

Format

`nord_palettes`

An object of class palettes_palette with 16 colour palettes. Use names(nord_palettes) to return all palette names.

Author(s)

Jake Kaupp

Source

https://github.com/jkaupp/nord

Examples

# Get all palettes by name.
names(nord_palettes)

# Plot all palettes.
plot(nord_palettes)
# Get all palettes by name.
names(nord_palettes)

# Plot all palettes.
plot(nord_palettes)

Colour vectors

Description

This creates a character vector that represents colours so when it is printed, colours will be formatted as hexadecimal strings.

Usage

pal_colour(x = character())

is_colour(x)

as_colour(x)

## Default S3 method:
as_colour(x)

## S3 method for class 'palettes_palette'
as_colour(x)
pal_colour(x = character())

is_colour(x)

as_colour(x)

## Default S3 method:
as_colour(x)

## S3 method for class 'palettes_palette'
as_colour(x)

Arguments

`x`	For `pal_colour()`: A character vector of any of the three kinds of R colour specifications. For `as_colour()`: An object to be coerced. For `is_colour()`: An object to test.

Details

Colours can be specified using either:

Hexadecimal strings of the form "#RRGGBB" or "#RRGGBBAA"
Colour names from grDevices::colors()
Positive integers i that index into grDevices::palette()⁠[i]⁠

Value

An S3 vector of class palettes_colour.

Examples

pal_colour(c("darkred", "#0F7BA2"))

is_colour("darkred")
is_colour(pal_colour("darkred"))

as_colour("#0F7BA2")
pal_colour(c("darkred", "#0F7BA2"))

is_colour("darkred")
is_colour(pal_colour("darkred"))

as_colour("#0F7BA2")

Colour vector and colour palette mapping

Description

Conveniently maps data values (numeric or factor/character) to colours according to a given colour vector or colour palette.

Usage

pal_numeric(
  palette,
  domain,
  na.color = "#808080",
  alpha = FALSE,
  reverse = FALSE
)

pal_bin(
  palette,
  domain,
  bins = 7,
  pretty = TRUE,
  na.color = "#808080",
  alpha = FALSE,
  reverse = FALSE,
  right = FALSE
)

pal_quantile(
  palette,
  domain,
  n = 4,
  probs = seq(0, 1, length.out = n + 1),
  na.color = "#808080",
  alpha = FALSE,
  reverse = FALSE,
  right = FALSE
)

pal_factor(
  palette,
  domain,
  levels = NULL,
  ordered = FALSE,
  na.color = "#808080",
  alpha = FALSE,
  reverse = FALSE
)
pal_numeric(
  palette,
  domain,
  na.color = "#808080",
  alpha = FALSE,
  reverse = FALSE
)

pal_bin(
  palette,
  domain,
  bins = 7,
  pretty = TRUE,
  na.color = "#808080",
  alpha = FALSE,
  reverse = FALSE,
  right = FALSE
)

pal_quantile(
  palette,
  domain,
  n = 4,
  probs = seq(0, 1, length.out = n + 1),
  na.color = "#808080",
  alpha = FALSE,
  reverse = FALSE,
  right = FALSE
)

pal_factor(
  palette,
  domain,
  levels = NULL,
  ordered = FALSE,
  na.color = "#808080",
  alpha = FALSE,
  reverse = FALSE
)

Arguments

`palette`	An object of class `palettes_colour` or `palettes_colour`.
`domain`	The possible values that can be mapped. For `pal_numeric` and `pal_bin`, this can be a simple numeric range (e.g. `c(0, 100)`); `pal_quantile` needs representative numeric data; and `pal_factor` needs categorical data. If `NULL`, then whenever the resulting colour function is called, the `x` value will represent the domain. This implies that if the function is invoked multiple times, the encoding between values and colours may not be consistent; if consistency is needed, you must provide a non-`NULL` domain.
`na.color`	The colour to return for `NA` values. Note that `na.color = NA` is valid.
`alpha`	Whether alpha channels should be respected or ignored. If `TRUE` then colors without explicit alpha information will be treated as fully opaque.
`reverse`	Whether the colours in `palette` should be used in reverse order. For example, if the default order of a palette goes from blue to green, then `reverse = TRUE` will result in the colors going from green to blue.
`bins`	Either a numeric vector of two or more unique cut points or a single number (greater than or equal to 2) giving the number of intervals into which the domain values are to be cut.
`pretty`	Whether to use the function `pretty()` to generate the bins when the argument `bins` is a single number. When `pretty = TRUE`, the actual number of bins may not be the number of bins you specified. When `pretty = FALSE`, `seq()` is used to generate the bins and the breaks may not be "pretty".
`right`	parameter supplied to `base::cut()`. See Details
`n`	Number of equal-size quantiles desired. For more precise control, use the `probs` argument instead.
`probs`	See `stats::quantile()`. If provided, the `n` argument is ignored.
`levels`	An alternate way of specifying levels; if specified, domain is ignored
`ordered`	If `TRUE` and `domain` needs to be coerced to a factor, treat it as already in the correct order

Details

pal_numeric is a simple linear mapping from continuous numeric data to an interpolated palette.

pal_bin also maps continuous numeric data, but performs binning based on value (see the base::cut() function). pal_bin defaults for the cut function are include.lowest = TRUE and right = FALSE.

pal_quantile similarly bins numeric data, but via the stats::quantile() function.

pal_factor maps factors to colours. If the palette is discrete and has a different number of colours than the number of factors, interpolation is used.

Value

A function that takes a single parameter x; when called with a vector of numbers (except for pal_factor, which expects factors/characters), #RRGGBB colour strings are returned (unless alpha = TRUE in which case #RRGGBBAA may also be possible).

Examples

pal <- pal_bin(met_palettes$Tam, domain = 0:100)
plot(as_colour(pal(sort(runif(16, 0, 100)))))

# Exponential distribution, mapped continuously
pal <- pal_numeric(met_palettes$Tam, domain = NULL)
plot(as_colour(pal(sort(rexp(16)))))

# Exponential distribution, mapped by interval
pal <- pal_bin(met_palettes$Tam, domain = NULL, bins = 4)
plot(as_colour(pal(sort(rexp(16)))))

# Exponential distribution, mapped by quantile
pal <- pal_quantile(met_palettes$Tam, domain = NULL)
plot(as_colour(pal(sort(rexp(16)))))

# Categorical data; by default, the values being coloured span the gamut...
pal <- pal_factor(met_palettes$Java, domain = NULL)
plot(as_colour(pal(LETTERS[1:5])))

# ...unless the data is a factor, without droplevels...
pal <- pal_factor(met_palettes$Java, domain = NULL)
plot(as_colour(pal(factor(LETTERS[1:5], levels = LETTERS))))

# ...or the domain is stated explicitly.
pal <- pal_factor(met_palettes$Java, domain = NULL, levels = LETTERS)
plot(as_colour(pal(LETTERS[1:5])))
pal <- pal_bin(met_palettes$Tam, domain = 0:100)
plot(as_colour(pal(sort(runif(16, 0, 100)))))

# Exponential distribution, mapped continuously
pal <- pal_numeric(met_palettes$Tam, domain = NULL)
plot(as_colour(pal(sort(rexp(16)))))

# Exponential distribution, mapped by interval
pal <- pal_bin(met_palettes$Tam, domain = NULL, bins = 4)
plot(as_colour(pal(sort(rexp(16)))))

# Exponential distribution, mapped by quantile
pal <- pal_quantile(met_palettes$Tam, domain = NULL)
plot(as_colour(pal(sort(rexp(16)))))

# Categorical data; by default, the values being coloured span the gamut...
pal <- pal_factor(met_palettes$Java, domain = NULL)
plot(as_colour(pal(LETTERS[1:5])))

# ...unless the data is a factor, without droplevels...
pal <- pal_factor(met_palettes$Java, domain = NULL)
plot(as_colour(pal(factor(LETTERS[1:5], levels = LETTERS))))

# ...or the domain is stated explicitly.
pal <- pal_factor(met_palettes$Java, domain = NULL, levels = LETTERS)
plot(as_colour(pal(LETTERS[1:5])))

Colour palettes

Description

This creates a list of colour vectors.

Usage

pal_palette(...)

is_palette(x)

as_palette(x)
pal_palette(...)

is_palette(x)

as_palette(x)

Arguments

`...`	For `pal_palette()`: A named list of character vectors of any of the three kinds of R colour specifications, or a named list of colour vectors of class `palettes_colour`.
`x`	For `as_palette()`: An object to be coerced. For `is_palette()`: An object to test.

Details

Colours can be specified using either:

Hexadecimal strings of the form "#RRGGBB" or "#RRGGBBAA"
Colour names from grDevices::colors()
Positive integers i that index into grDevices::palette()⁠[i]⁠

Value

An S3 list of class palettes_palette.

Examples

pal_palette(
  Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"),
  Java  = c("#663171", "#CF3A36", "#EA7428", "#E2998A", "#0C7156")
)

x <- list(
  Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"),
  Java  = c("#663171", "#CF3A36", "#EA7428", "#E2998A", "#0C7156")
)
as_palette(x)
pal_palette(
  Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"),
  Java  = c("#663171", "#CF3A36", "#EA7428", "#E2998A", "#0C7156")
)

x <- list(
  Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"),
  Java  = c("#663171", "#CF3A36", "#EA7428", "#E2998A", "#0C7156")
)
as_palette(x)

Colour vector and colour palette interpolation

Description

Interpolate the set of colours in palettes_palette or palettes_colour objects to create new colour palettes.

Usage

pal_ramp(
  palette,
  n = NULL,
  direction = 1,
  space = "lab",
  interpolate = c("linear", "spline")
)

## S3 method for class 'palettes_colour'
pal_ramp(
  palette,
  n = NULL,
  direction = 1,
  space = "lab",
  interpolate = c("linear", "spline")
)

## S3 method for class 'palettes_palette'
pal_ramp(
  palette,
  n = NULL,
  direction = 1,
  space = "lab",
  interpolate = c("linear", "spline")
)
pal_ramp(
  palette,
  n = NULL,
  direction = 1,
  space = "lab",
  interpolate = c("linear", "spline")
)

## S3 method for class 'palettes_colour'
pal_ramp(
  palette,
  n = NULL,
  direction = 1,
  space = "lab",
  interpolate = c("linear", "spline")
)

## S3 method for class 'palettes_palette'
pal_ramp(
  palette,
  n = NULL,
  direction = 1,
  space = "lab",
  interpolate = c("linear", "spline")
)

Arguments

`palette`	An object of class `palettes_palette` or `palettes_colour`.
`n`	An integer specifying the number of colours to return.
`direction`	Sets the order of colours in the scale. If 1, the default, colours are ordered from first to last. If -1, the order of colours is reversed.
`space`	The colour space to interpolate in. One of: `"cmy"`, `"hsl"`, `"hsb"`, `"hsv"`, `"lab"` (CIE L*ab), `"hunterlab"` (Hunter Lab), `"oklab"`, `"lch"` (CIE Lch(ab) / polarLAB), `"luv"`, `"rgb"` (sRGB), `"xyz"`, `"yxy"` (CIE xyY), `"hcl"` (CIE Lch(uv) / polarLuv), or `"oklch"` (Polar form of oklab).
`interpolate`	The interpolation method. Either "linear" (default) or "spline".

Value

An object of the same type as palette. The output has the following properties:

For objects of class palettes_colour: A colour vector with n colours.
For objects of class palettes_palette: Colour palettes with n colours in each palette.

Examples

# The class returned after interpolation matches the input class.
x <- pal_colour(c("darkslateblue", "cornflowerblue", "slategray1"))
y <- pal_palette(blues = x)
class(pal_ramp(x))
class(pal_ramp(y))

# Choose between linear and spline interpolation.
pal_ramp(x, n = 7, interpolate = "linear")
pal_ramp(x, n = 7, interpolate = "spline")

# Palettes will have the same length after interpolation, regardless of the
# number of colours in the original palette.
z <- pal_palette(
  Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"),
  Java  = c("#663171", "#CF3A36", "#EA7428", "#E2998A", "#0C7156")
)
pal_ramp(z, n = 5)
# The class returned after interpolation matches the input class.
x <- pal_colour(c("darkslateblue", "cornflowerblue", "slategray1"))
y <- pal_palette(blues = x)
class(pal_ramp(x))
class(pal_ramp(y))

# Choose between linear and spline interpolation.
pal_ramp(x, n = 7, interpolate = "linear")
pal_ramp(x, n = 7, interpolate = "spline")

# Palettes will have the same length after interpolation, regardless of the
# number of colours in the original palette.
z <- pal_palette(
  Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"),
  Java  = c("#663171", "#CF3A36", "#EA7428", "#E2998A", "#0C7156")
)
pal_ramp(z, n = 5)

Package options

Description

Options that adjust the behaviour of the palettes package.

Details

These options can be set via options() and queried via getOption().

Options for the palettes package

palettes.print_symbol:: Character string setting the symbol used for colour previews. See list_colour_symbols() for a list of symbol choices. Defaults to "circle_small". Set to FALSE to disable printing symbols.
palettes.print_hex:: Logical setting whether to print hex codes in colour previews. Defaults to TRUE.
palettes.print_alpha:: Logical setting whether to print the hex code alpha channel in colour previews. Defaults to FALSE. Colours without an alpha channel will be assumed to be full opacity.
palettes.print_sep:: Character string to separate colours by in colour previews. Defaults to "".
palettes.print_width:: Integer setting the maximum number of colours on a line in colour previews. Defaults to 1.
palettes.print_index:: Logical setting whether to print the index of the first colour on each line in colour previews. Defaults to FALSE.

Note

To disable formatting in colour previews set both palettes.print_symbol and palettes.print_hex to FALSE.

Examples

options(
  palettes.print_symbol = "square",
  palettes.print_hex = FALSE,
  palettes.print_sep = " ",
  palettes.print_width = 3,
  palettes.print_index = TRUE
)
met_palettes$Cross
options(
  palettes.print_symbol = "square",
  palettes.print_hex = FALSE,
  palettes.print_sep = " ",
  palettes.print_width = 3,
  palettes.print_index = TRUE
)
met_palettes$Cross

Palmer penguins palettes

Description

Palettes inspired by the Palmer penguins.

Usage

penguin_palettes
penguin_palettes

Format

`penguin_palettes`

An object of class palettes_palette with 6 colour palettes. Use names(penguin_palettes) to return all palette names.

Author(s)

Allison Horst

Source

https://github.com/allisonhorst/palmerpenguins/

Examples

# Get all palettes by name.
names(penguin_palettes)

# Plot all palettes.
plot(penguin_palettes)
# Get all palettes by name.
names(penguin_palettes)

# Plot all palettes.
plot(penguin_palettes)

Performance palettes

Description

A colourblind accessible palette for visualizing performance.

Usage

performance_palettes
performance_palettes

Format

`performance_palettes`

An object of class palettes_palette with 1 colour palettes. All colours in each palette are distinguishable with deuteranopia, protanopia, and tritanopia. Use names(performance_palettes) to return all palette names.

Source

https://github.com/easystats/performance/

Examples

# Get all palettes by name.
names(performance_palettes)

# Plot all palettes.
plot(performance_palettes)
# Get all palettes by name.
names(performance_palettes)

# Plot all palettes.
plot(performance_palettes)

Plot colour vectors and colour palettes

Description

Plot colour vectors and colour palettes as swatches.

Usage

## S3 method for class 'palettes_colour'
plot(
  x,
  n = NULL,
  direction = 1,
  space = "lab",
  interpolate = c("linear", "spline"),
  ...
)

## S3 method for class 'palettes_palette'
plot(
  x,
  n = NULL,
  direction = 1,
  space = "lab",
  interpolate = c("linear", "spline"),
  ...
)
## S3 method for class 'palettes_colour'
plot(
  x,
  n = NULL,
  direction = 1,
  space = "lab",
  interpolate = c("linear", "spline"),
  ...
)

## S3 method for class 'palettes_palette'
plot(
  x,
  n = NULL,
  direction = 1,
  space = "lab",
  interpolate = c("linear", "spline"),
  ...
)

Arguments

`x`	An object of class `palettes_palette` or `palettes_colour`.
`n`	An integer specifying the number of colours to return.
`direction`	Sets the order of colours in the scale. If 1, the default, colours are ordered from first to last. If -1, the order of colours is reversed.
`space`	The colour space to interpolate in. One of: `"cmy"`, `"hsl"`, `"hsb"`, `"hsv"`, `"lab"` (CIE L*ab), `"hunterlab"` (Hunter Lab), `"oklab"`, `"lch"` (CIE Lch(ab) / polarLAB), `"luv"`, `"rgb"` (sRGB), `"xyz"`, `"yxy"` (CIE xyY), `"hcl"` (CIE Lch(uv) / polarLuv), or `"oklch"` (Polar form of oklab).
`interpolate`	The interpolation method. Either "linear" (default) or "spline".
`...`	Not used.

Value

A ggplot2 object. The output has the following properties:

For objects of class palettes_colour: A plot of colour swatches.
For objects of class palettes_palette with one palette: A plot of colour swatches with the palette name spanned across the swatches.
For objects of class palettes_palette with more than one palette: A faceted plot of colour swatches with palette names as facet titles.

Examples

# Objects of class `palettes_colour` are plotted as swatches.
x <- pal_colour(c("darkslateblue", "cornflowerblue", "slategray1"))
plot(x)

# Objects of class `palettes_palette` with one palette are plotted with
# the palette name spanned across the swatches.
y <- pal_palette(Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"))
plot(y)

# Objects of class `palettes_palette` with multiple palettes are faceted.
z <- pal_palette(
  Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"),
  Java  = c("#663171", "#CF3A36", "#EA7428", "#E2998A", "#0C7156")
)
plot(z)

# Colours can also be interpolated.
plot(x, n = 5)
plot(y, n = 5)
plot(z, n = 5)
# Objects of class `palettes_colour` are plotted as swatches.
x <- pal_colour(c("darkslateblue", "cornflowerblue", "slategray1"))
plot(x)

# Objects of class `palettes_palette` with one palette are plotted with
# the palette name spanned across the swatches.
y <- pal_palette(Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"))
plot(y)

# Objects of class `palettes_palette` with multiple palettes are faceted.
z <- pal_palette(
  Egypt = c("#DD5129", "#0F7BA2", "#43B284", "#FAB255"),
  Java  = c("#663171", "#CF3A36", "#EA7428", "#E2998A", "#0C7156")
)
plot(z)

# Colours can also be interpolated.
plot(x, n = 5)
plot(y, n = 5)
plot(z, n = 5)

Pacific Northwest palettes

Description

Palettes inspired by Jake Lawlor's photos of the dreamiest, most colourful, PNW-iest places in Washington State.

Usage

pnw_palettes
pnw_palettes

Format

`pnw_palettes`

An object of class palettes_palette with 14 colour palettes. Use names(pnw_palettes) to return all palette names.

Author(s)

Jake Lawlor

Source

https://github.com/jakelawlor/PNWColors

Examples

# Get all palettes by name.
names(pnw_palettes)

# Plot all palettes.
plot(pnw_palettes)
# Get all palettes by name.
names(pnw_palettes)

# Plot all palettes.
plot(pnw_palettes)

Colour scales from colour vectors and colour palettes

Description

Create discrete, continuous, and binned colour scales from colour vectors and colour palettes.

Usage

scale_colour_palette_d(palette, direction = 1, ...)

scale_fill_palette_d(palette, direction = 1, ...)

scale_colour_palette_c(palette, direction = 1, ...)

scale_fill_palette_c(palette, direction = 1, ...)

scale_colour_palette_b(palette, direction = 1, ...)

scale_fill_palette_b(palette, direction = 1, ...)
scale_colour_palette_d(palette, direction = 1, ...)

scale_fill_palette_d(palette, direction = 1, ...)

scale_colour_palette_c(palette, direction = 1, ...)

scale_fill_palette_c(palette, direction = 1, ...)

scale_colour_palette_b(palette, direction = 1, ...)

scale_fill_palette_b(palette, direction = 1, ...)

Arguments

`palette`	An object of class `palettes_palette` or `palettes_colour`.
`direction`	Sets the order of colours in the scale. If 1, the default, colours are ordered from first to last. If -1, the order of colours is reversed.
`...`	Other arguments passed on to `ggplot2::discrete_scale()`, `ggplot2::continuous_scale()`, or `ggplot2::binned_scale()` to control name, limits, breaks, labels and so forth.

Value

A scale function that controls the mapping between data and colour or fill aesthetics in a ggplot2 plot.

Examples

library(ggplot2)

# Use palette_d with discrete data
discrete_pal <- pal_colour(c("#663171", "#EA7428", "#0C7156"))
ggplot(mtcars, aes(wt, mpg, colour = as.factor(cyl))) +
  geom_point(size = 3) +
  scale_colour_palette_d(discrete_pal)

# Use palette_c with continuous data
continuous_pal <- pal_colour(c("#3C0D03", "#E67424", "#F5C34D"))
ggplot(mtcars, aes(wt, mpg, colour = mpg)) +
  geom_point(size = 3) +
  scale_colour_palette_c(continuous_pal)

# Use palette_b to bin continuous data before mapping
ggplot(mtcars, aes(wt, mpg, colour = mpg)) +
  geom_point(size = 3) +
  scale_colour_palette_b(continuous_pal)
library(ggplot2)

# Use palette_d with discrete data
discrete_pal <- pal_colour(c("#663171", "#EA7428", "#0C7156"))
ggplot(mtcars, aes(wt, mpg, colour = as.factor(cyl))) +
  geom_point(size = 3) +
  scale_colour_palette_d(discrete_pal)

# Use palette_c with continuous data
continuous_pal <- pal_colour(c("#3C0D03", "#E67424", "#F5C34D"))
ggplot(mtcars, aes(wt, mpg, colour = mpg)) +
  geom_point(size = 3) +
  scale_colour_palette_c(continuous_pal)

# Use palette_b to bin continuous data before mapping
ggplot(mtcars, aes(wt, mpg, colour = mpg)) +
  geom_point(size = 3) +
  scale_colour_palette_b(continuous_pal)

Viridis palettes

Description

Colourblind accessible palettes that are perceptually uniform in both colour and black-and-white.

Usage

viridis_palettes
viridis_palettes

Format

`viridis_palettes`

An object of class palettes_palette with 8 colour palettes. All colours in each palette are distinguishable with deuteranopia, protanopia, and tritanopia. Use names(viridis_palettes) to return all palette names.

Author(s)

Simon Garnier

Source

https://github.com/sjmgarnier/viridisLite

Examples

# Get all palettes by name.
names(viridis_palettes)

# Plot all palettes.
plot(viridis_palettes, n = 256)
# Get all palettes by name.
names(viridis_palettes)

# Plot all palettes.
plot(viridis_palettes, n = 256)

Package 'palettes'

Help Index

Cast colour vectors and colour palettes to tibbles

Description

Usage

Arguments

Value

See Also

Examples

Cartography palettes

Description

Usage

Format

discrete_palettes

sequential_palettes

diverging_palettes

Source

See Also

Examples

Mix colour vectors with arithmetic operators

Description

Usage

Arguments

Value

Examples

Mix colour vectors with math functions

Description

Usage

Arguments

Value

Examples

Symbols to use in colour previews

Description

Usage

Details

Value

See Also

Examples

Metropolitan Museum of Art palettes

Description

Usage

Format

met_palettes

met_palettes_a11y

Author(s)

Source

See Also

Examples

Nord palettes

Description

Usage

Format

nord_palettes

Author(s)

Source

See Also

Examples

Colour vectors

Description

Usage

Arguments

Details

Value

See Also

Examples

Colour vector and colour palette mapping

Description

Usage

Arguments

Details

Value

See Also

Examples

Colour palettes

Description

Usage

Arguments

Details

Value

See Also

`discrete_palettes`

`sequential_palettes`

`diverging_palettes`

`met_palettes`

`met_palettes_a11y`

`nord_palettes`

`penguin_palettes`

`performance_palettes`

`pnw_palettes`

`viridis_palettes`