Changelog

Source: NEWS.md

qualpalr 0.4.4

Minor changes

• The dependency on RcppParallel has been dropped. As a result, the argument n_threads is now deprecated (and has no effect).

qualpalr 0.4.3

CRAN release: 2018-10-29

Minor changes

• qualpal() gains an argument, n_threads, for specifying the number of threads to use when computing the distance matrix between colors.
• C++ functions call namespaces explicitly using ::.
• Documentation for hue and saturation in qualpal() has been fixed. (Closes #2, thanks @jflycn).

qualpalr 0.4.2

CRAN release: 2017-08-28

Major changes

• Palettes are no longer generated randomly. qualpalr previously started with a random sample of colors before running the optimization scheme but now instead picks a starting set of linearly spaced colors.

Minor changes

• C++ functions are registered via Rcpp.

Bug fixes

• autopal() erroneously required colorspace to be a string.

qualpalr 0.4.1

CRAN release: 2017-05-15

Bug fixes

• Fixed autopal() which was broken since the minimum color difference returned was always 0 due to a bug in qualpal().

Minor changes

• Now registers compiled functions.

qualpalr 0.4.0

CRAN release: 2017-03-16

Major changes

• autopal() is a new function that tweaks the amount of color vision deficiency adaptation to match a target color difference.
• qualpal() argument colorspace now also accepts a matrix or data.frame of RGB colors.

Minor changes

• qualpal() sorts palettes in order of increasing color distinctness.
• qualpal() argument colorblind has been made defunct.
• Documentation for qualpal() has been improved.
• Colors are now generated with randtoolbox::torus() instead of randtoolbox::sobol().

qualpalr 0.3.1

CRAN release: 2016-12-22

Bug fixes

• Dropped a C++ header that caused the package build to fail on some platforms.
• Fixed issues with uninitialized variables in the internal farthest points optimizer.

qualpalr 0.3.0

CRAN release: 2016-12-20

New features

• Improved algorithm for finding distinct colors. (For details see this.)
• Revamped the color deficiency handling to include almost all cases of color deficiency using the methods described in Machado 2010, now including tritanopia as well as anomalous trichromacies (deuteranomaly, tritanomaly, and protanomaly). This is controlled via the cvd_severity argument to qualpal() that allows the user to set the severity of color deficiency to adapt to – 0 for normal vision and 1 for dichromatic vision (protanopia, deuteranopia, or tritanopia).

Minor improvements

• Distance and color picking algorithms have been rewritten in C++ using Rcpp, RcppParallel, and RcppArmadillo.
• Phased out the ... argument to qualpal.
• Lightness range of the predefined rainbow palette increased to [0, 1].
• Changed argument name of colorblind to cvd (for color vision deficiency) since the function now adapts to less severe versions of color deficiency. Using colorblind is deprecated and will throw a warning.

Bug fixes

• Fixed typos and invalid links in the Introduction to qualpalr vignette.

qualpalr 0.2.1

CRAN release: 2016-10-09

New features

• Dropped daltonization since it effectively transposed the color subspace given by the user. qualpalr now instead only transforms the given color subspace to simulate protanopia or deuteranopia and then picks colors. This has the side-effect of decreasing the distinctness of color palettes when colorblind is used, but is more consistent with user input.

Bug fixes and minor improvements

• Simulations for tritanopia were dropped since there is no reliable source to explain how sRGB ranges should be converted (as there is for deuteranopia and protanopia in Vienot et al 1999).
• Added tests using data from Vienot et al 1999 to check that color blind simulations work properly.
• Fixed a sampling bug wherein the square root of saturation was taken after scaling to the provided range, which generated different ranges than intended.
• Switched to the sobol quasi-random sequence instead of torus.

qualpalr 0.2.0

New features

• Redesigned the method by which qualpal picks colors. Now initializes a point cloud of colors, projects it to DIN99d space, and picks points greedily.
• Introduced real methods of adapting colors to color blindness by daltonizing color subspaces before picking colors from them.
• The introduction to qualpalr vignette has been expanded with a thorough description of how qualpalr picks colors.

Bug fixes and minor improvements

• Moved from using grDevices::convertColor to formulas from Bruce Lindbloom for color conversions, since the former function inaccurately converts colors.
• Deprecated ... in qualpal since the function no longer uses an optimizer.