Title: | Automatic Generation of Qualitative Color Palettes |
Version: | 1.0.0 |
Description: | Automatic generation of maximally distinct qualitative color palettes, optionally tailored to color deficiency. A list of colors or a subspace of a color space is used as input and then projected to the DIN99d color space, where colors that are maximally distinct are chosen algorithmically. |
License: | GPL-3 |
BugReports: | https://github.com/jolars/qualpalr/issues |
URL: | https://jolars.github.io/qualpalr/ |
Encoding: | UTF-8 |
RoxygenNote: | 7.3.2 |
VignetteBuilder: | knitr |
SystemRequirements: | C++17 |
Depends: | R (≥ 4.0.0) |
Imports: | graphics, stats, utils, Rcpp |
Suggests: | randtoolbox (≥ 1.17), testthat, knitr, rmarkdown, maps, rgl, spelling, covr |
LinkingTo: | Rcpp (≥ 0.12.9) |
Language: | en-US |
NeedsCompilation: | yes |
Packaged: | 2025-08-18 14:40:31 UTC; jola |
Author: | Johan Larsson |
Maintainer: | Johan Larsson <jolars@posteo.com> |
Repository: | CRAN |
Date/Publication: | 2025-08-18 19:20:11 UTC |
qualpalr: Automatic Generation of Qualitative Color Palettes
Description
Automatic generation of maximally distinct qualitative color palettes, optionally tailored to color deficiency. A list of colors or a subspace of a color space is used as input and then projected to the DIN99d color space, where colors that are maximally distinct are chosen algorithmically.
Author(s)
Maintainer: Johan Larsson johanlarsson@outlook.com (ORCID)
See Also
Useful links:
Analyze a categorical color palette
Description
Analyze a categorical color palette with respect to the differences between the colors in the palette.
Usage
analyze_palette(
palette,
cvd = c(protan = 0, deutan = 0, tritan = 0),
bg = NULL,
metric = c("ciede2000", "din99d", "cie76")
)
Arguments
palette |
Either a matrix of RGB values (with values between 0 and 1), a data frame with RGB values, or a character vector of hex colors. |
cvd |
Color vision deficiency adaptation. This must be a named
vector with names |
bg |
Background color to consider (but not include) when
generating the palette. This is useful to avoid colros that are too
close to the background/canvas color. If |
metric |
The color metric to use for the color distance matrix. |
Value
A list of lists, one for each type of color vision deficiency plus
normal vision. Each list contains difference_matrix
, min_distances
, and
bg_min_distance
See Also
Examples
pal <- qualpal(5)
analyze_palette(pal$hex, cvd = c(protan = 1))
Optimize color palette for color vision deficiency
Description
Optimize color palette for color vision deficiency
Deprecated functions in package qualpal.
The functions listed below are deprecated and will be defunct in the next
major version future. When possible, alternative functions with similar
functionality are also mentioned. Help pages for deprecated functions are
available at help("<function>-deprecated")
.
Usage
autopal(
n,
colorspace = list(h = c(0, 360), s = c(0.2, 0.5), l = c(0.6, 0.85)),
cvd = c("protan", "deutan", "tritan"),
target = 20
)
autopal
This function is deprecated and will be removed in a future release. No direct replacement is available.
Optimize color palette for color vision deficiency
Description
Deprecated: This function is deprecated and will be removed in a future release. There is no direct replacement.
Arguments
n |
Number of colors to generate. |
colorspace |
Either 1) a list of three named numeric vectors: |
cvd |
Color vision deficiency adaptation to adapt the color palette to. |
target |
Target color difference. |
Details
This function adapts color palettes to color vision deficiency (CVD) by
optimizing the CVD severity to try reach a target color difference (DIN99d
\delta E
) of the user's choosing. Basically, it will choose a color
palette that is as close as possible to the target \delta E
by
tweaking the CVD severity option in qualpal
.
The rationale for this function is that when there are few colors in a color
palette, there is no cost involved in adapting colors to CVD – the colors
will still remain distinct. As more an more colors are added to the palette,
however, adapting the color palette to CVD will eventually lead to colors
that are too similar. This function gradually loosens the adaptation to CVDs
by lowering the severity of CVD to simulate to before picking colors (the
cvd_severity
argument in qualpal
)
Value
A list of class qualpal
with the following
components.
HSL |
A matrix of the colors in the HSL color space. |
RGB |
A matrix of the colors in the sRGB color space. |
hex |
A character vector of the colors in hex notation. |
de_DIN99d |
A distance matrix of color differences according to the metric used. The name is misleading, bu kept for backwards compatibility. |
hex |
A character vector of the colors in hex notation. |
min_de_DIN99d |
The minimum pairwise DIN99d color difference among all colors in the palette. |
See Also
Convert colors between colorspaces
Description
Convert colors between colorspaces
Usage
convert_colors(colors, from, to)
Arguments
colors |
A matrix of colors |
from |
The colorspace of the input colors, one of "rgb", "hsl", "din99d", "lab", "xyz" |
to |
The colorspace of the output colors, one of "rgb", "hsl", "lab", "xyz" |
Value
The colors converted to the new colorspace
Retrieve one of the built-in color palettes
Description
This function retrieves a color palette from the built-in palettes. To
see the available palettes, use list_palettes()
.
Usage
get_palette(palette = "ColorBrewer:Accent")
Arguments
palette |
A character string specifying the name of the color palette to |
Value
A character vector of colors in hex format.
See Also
Examples
get_palette("Vermeer:LittleStreet")
List available color palettes
Description
List available color palettes
Usage
list_palettes()
Value
A list of available color palettes. Each palette is a named list with a character vector.
See Also
Examples
list_palettes()
Scatterplot matrix of qualitative color palette
Description
Plots the colors in an object of class "qualpal"
as a scatterplot
matrix on either the DIN99d (the default) or HSL color space.
Usage
## S3 method for class 'qualpal'
pairs(x, colorspace = c("DIN99d", "HSL", "RGB"), ...)
Arguments
x |
A list object of class |
colorspace |
The color space in which to plot the colors ("DIN99d", "HSL", or "RGB"). |
... |
Arguments to pass on to |
See Also
Examples
col_pal <- qualpal(3)
pairs(col_pal)
pairs(col_pal, colorspace = "HSL")
Multidimensional scaling map of qualitative color palette
Description
Uses the colors in a qualpal object to compute and plot a
multidimensional scaling (MDS) map using cmdscale
on the
Delta E DIN99d distance matrix.
Usage
## S3 method for class 'qualpal'
plot(x, ...)
Arguments
x |
An object of class |
... |
Arguments to pass on to |
See Also
Examples
col_pal <- qualpal(3)
plot(col_pal)
Print qualpal palette
Description
Print the result from a call to qualpal
.
Usage
## S3 method for class 'qualpal'
print(x, colorspace = c("HSL", "DIN99d", "RGB"), digits = 2, ...)
Arguments
x |
An object of class |
colorspace |
Color space to print colors in. |
digits |
Number of significant digits for the output.
(See print.default.) Setting it to |
... |
Arguments to pass to |
Value
Prints the colors as a matrix in the specified color space as well as a distance matrix of the color differences. Invisibly returns x.
Examples
f <- qualpal(3)
print(f, colorspace = "DIN99d", digits = 3)
Generate qualitative color palettes
Description
Given a collection of colors, qualpal()
algorithmically
tries to select to n
most distinct colors from the provided
input colors, optionally taking color vision deficiency into account.
Usage
qualpal(
n,
colorspace = list(h = c(0, 360), s = c(0.2, 0.5), l = c(0.6, 0.85)),
cvd = c(protan = 0, deutan = 0, tritan = 0),
cvd_severity,
bg = NULL,
metric = c("ciede2000", "din99d", "cie76"),
extend = NULL
)
Arguments
n |
The number of colors to generate. |
colorspace |
A color space to generate colors from. Can be any of the following:
|
cvd |
Color vision deficiency adaptation. This must be a named
vector with names |
cvd_severity |
DEPRECATED. Use a named |
bg |
Background color to consider (but not include) when
generating the palette. This is useful to avoid colros that are too
close to the background/canvas color. If |
metric |
The color metric to use for the color distance matrix. |
extend |
A palette of colors to use as a fixed set of initial
colors in the palette, which can be either a matrix or data frame
of RGB values (with values between 0 and 1) or a character vector
of hex colors (or any other format that's acceptable in
|
Details
The main idea is to compute a distance matrix from all the input colors, and
then try to select the most distinct colors based on the color differences
between them. It does this iteratively by first selecting the first n
colors from the input colors, then iterates over the palette, putting colors
back into the total set and replaces it with a new color until it has gone
through the whole range without changing any of the colors.
Optionally, qualpal
can adapt palettes to cater to color vision
deficiency (CVD). This is accomplished by taking the colors
provided by the user and transforming them to colors that someone with CVD
would see, that is, simulating CVD qualpal then chooses colors from
these new colors.
Value
A list of class qualpal
with the following
components.
HSL |
A matrix of the colors in the HSL color space. |
RGB |
A matrix of the colors in the sRGB color space. |
hex |
A character vector of the colors in hex notation. |
de_DIN99d |
A distance matrix of color differences according to the metric used. The name is misleading, bu kept for backwards compatibility. |
hex |
A character vector of the colors in hex notation. |
min_de_DIN99d |
The minimum pairwise DIN99d color difference among all colors in the palette. |
See Also
plot.qualpal()
, pairs.qualpal()
, list_palettes()
Examples
# Generate 3 distinct colors from the default color space
qualpal(3)
# Provide a custom color space
qualpal(n = 3, list(h = c(35, 360), s = c(0.5, 0.7), l = c(0, 0.45)))
qualpal(3, "ColorBrewer:Set2")
# Adapt palette to deuteranopia
qualpal(5, "ColorBrewer:Dark2", cvd = c(deutan = 1))
# Adapt palette to protanomaly with severity 0.4
qualpal(8, cvd = c(protan = 0.4))
# Generate and extend a palette with 3 colors, using the DIN99d
# metric
pal <- qualpal(3)
qualpal(5, extend = pal$hex, metric = "din99d")
## Not run:
# The range of hue cannot exceed 360
qualpal(3, list(h = c(-20, 360), s = c(0.5, 0.7), l = c(0, 0.45)))
## End(Not run)