| Title: | Check Color Palettes for Problems with Color Vision Deficiency |
| Version: | 1.0.2 |
| Description: | Compare color palettes with simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia. It includes calculation of distances between colors, and creating summaries of differences between a color palette and simulations of color vision deficiencies. This work was inspired by the blog post at http://www.vis4.net/blog/2018/02/automate-colorblind-checking/. |
| Imports: | colorspace, methods, spacesXYZ |
| Suggests: | rcartocolor, testthat, knitr, rmarkdown, covr, vdiffr |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.2.3 |
| VignetteBuilder: | knitr |
| URL: | https://jakubnowosad.com/colorblindcheck/ |
| BugReports: | https://github.com/Nowosad/colorblindcheck/issues |
| NeedsCompilation: | no |
| Packaged: | 2023-05-13 09:47:03 UTC; jn |
| Author: | Jakub Nowosad 
[aut, cre] |
| Maintainer: | Jakub Nowosad <nowosad.jakub@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2023-05-13 10:00:05 UTC |
colorblindcheck: Check Color Palettes for Problems with Color Vision Deficiency
Description
Compare color palettes with simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia. It includes calculation of distances between colors, and creating summaries of differences between a color palette and simulations of color vision deficiencies. This work was inspired by the blog post at http://www.vis4.net/blog/2018/02/automate-colorblind-checking/.
Author(s)
Maintainer: Jakub Nowosad nowosad.jakub@gmail.com (ORCID)
See Also
Useful links:
Report bugs at https://github.com/Nowosad/colorblindcheck/issues
Plot Bivariate Palette And Its Color Vision Deficiencies
Description
Plot of the original input bivariate palette and simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia.
Usage
palette_bivariate_plot(x, severity = 1)
Arguments
x |
A vector of hexadecimal color descriptions |
severity |
Severity of the color vision defect, a number between 0 and 1 |
Value
A plot with the original input palette and simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia
See Also
palette_plot
Examples
palette_bivariate_plot(x = rcartocolor::carto_pal(4, "Sunset"))
Compare Palette with Color Vision Deficiencies
Description
Comparision of the original input palette and simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia.
Usage
palette_check(
x,
tolerance = NULL,
plot = FALSE,
bivariate = FALSE,
severity = 1,
...
)
Arguments
x |
A vector of hexadecimal color descriptions |
tolerance |
The minimal value of acceptable difference between the colors to distinguish between them. As the default, minimal distance between colors in the original input palette is given. |
plot |
If TRUE, display a plot comparing the original input palette and simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia |
bivariate |
If TRUE (and plot = TRUE), display a bivariate plot (plot where colors are located in columns and rows) comparing the original input palette and simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia |
severity |
Severity of the color vision defect, a number between 0 and 1 |
... |
Other arguments passed on to |
Value
A data.frame with 4 observations and 8 variables:
name: orginal input color palette (normal), deuteranopia, protanopia, and tritanopia
n: number of colors
tolerance: minimal value of acceptable difference between the colors to distinguish between them
ncp: number of color pairs
ndcp: number of differentiable color pairs (color pairs with distances above the tolerance value)
min_dist: minimal distance between colors
mean_dist: average distance between colors
max_dist: maximal distance between colors
Additionally, a plot comparing the original input palette and simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia can be shown.
Examples
rainbow_pal = rainbow(n = 7)
rainbow_pal
palette_check(rainbow_pal, plot = TRUE)
x = rcartocolor::carto_pal(11, "Vivid")
palette_check(x)
palette_check(x, plot = TRUE)
palette_check(x, tolerance = 1)
palette_check(x, tolerance = 10, metric = 1976)
palette_check(x, plot = TRUE, severity = 0.5)
y = rcartocolor::carto_pal(4, "Sunset")
palette_check(y, plot = TRUE, bivariate = TRUE, severity = 0.5)
Distance Between Colors
Description
Calculation of the distances between the colors in the input palette. It also allows for calculation of the distances between the colors in a simulations of the color vision deficiency - deuteranopia, protanopia, and tritanopia.
Usage
palette_dist(x, cvd = NULL, severity = 1, metric = 2000)
Arguments
x |
A vector of hexadecimal color descriptions |
cvd |
A type of color vision deficiency (CVD): "pro" (protanomaly), "deu" (deutanomaly), or "tri" (tritanomaly) |
severity |
Severity of the color vision defect, a number between 0 and 1 |
metric |
A vector of color metric specifiers. Valid values are '1976', '1994', and '2000' (default), which refer to the year the metric was recommended by the CIE |
Value
A matrix of distances between the original input palette and a simulation of the selected color vision deficiency - deuteranopia, protanopia, and tritanopia
Examples
rainbow_pal = rainbow(n = 7)
rainbow_pal
palette_dist(rainbow_pal)
palette_dist(rainbow_pal, cvd = "deu")
x = rcartocolor::carto_pal(11, "Vivid")
palette_dist(x)
palette_dist(x, cvd = "pro", severity = 1)
palette_dist(x, cvd = "pro", severity = 0.2)
Plot Palette And Its Color Vision Deficiencies
Description
Plot of the original input palette and simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia.
Usage
palette_plot(x, severity = 1)
Arguments
x |
A vector of hexadecimal color descriptions |
severity |
Severity of the color vision defect, a number between 0 and 1 |
Value
A plot with the original input palette and simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia
See Also
palette_bivariate_plot
Examples
rainbow_pal = rainbow(n = 7)
rainbow_pal
palette_plot(rainbow_pal)
palette_plot(x = rcartocolor::carto_pal(7, "Sunset"))
palette_plot(x = rcartocolor::carto_pal(11, "Safe"))
palette_plot(x = rcartocolor::carto_pal(7, "Earth"))
palette_plot(x = rcartocolor::carto_pal(11, "Vivid"))