Showing 10 of total 10 results (show query)
stla
RcppColors:Color Mappings and 'C++' Header Files for Color Conversion
Provides 'C++' header files to deal with color conversion from some color spaces to hexadecimal with 'Rcpp', and exports some color mapping functions for usage in R. Also exports functions to convert colors from the 'HSLuv' color space for usage in R. 'HSLuv' is a human-friendly alternative to HSL.
Maintained by Stéphane Laurent. Last updated 1 years ago.
colormapcolorspacercppcppopenmp
10.0 match 8 stars 4.53 score 85 scripts
andremueller
colorpatch:Optimized Rendering of Fold Changes and Confidence Values
Shows color patches for encoding fold changes (e.g. log ratios) together with confidence values within a single diagram. This is especially useful for rendering gene expression data as well as other types of differential experiments. In addition to different rendering methods (ggplot extensions) functionality for perceptually optimizing color palettes are provided. Furthermore the package provides extension methods of the colorspace color-class in order to simplify the work with palettes (a.o. length, as.list, and append are supported).
Maintained by Andre Mueller. Last updated 8 years ago.
7.4 match 3.23 score 34 scripts
thomasp85
farver:High Performance Colour Space Manipulation
The encoding of colour can be handled in many different ways, using different colour spaces. As different colour spaces have different uses, efficient conversion between these representations are important. The 'farver' package provides a set of functions that gives access to very fast colour space conversion and comparisons implemented in C++, and offers speed improvements over the 'convertColor' function in the 'grDevices' package.
Maintained by Thomas Lin Pedersen. Last updated 10 months ago.
1.5 match 136 stars 14.22 score 164 scripts 8.0k dependents
rmaia
pavo:Perceptual Analysis, Visualization and Organization of Spectral Colour Data
A cohesive framework for the spectral and spatial analysis of colour described in Maia, Eliason, Bitton, Doucet & Shawkey (2013) <doi:10.1111/2041-210X.12069> and Maia, Gruson, Endler & White (2019) <doi:10.1111/2041-210X.13174>.
Maintained by Thomas White. Last updated 1 months ago.
2.0 match 72 stars 9.72 score 151 scripts 1 dependents
mccarthy-m-g
palettes:Methods for Colour Vectors and Colour Palettes
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.
Maintained by Michael McCarthy. Last updated 6 months ago.
color-palettecolorscolour-palettecoloursggplot2gtpalettesvctrs
2.0 match 25 stars 7.58 score 42 scripts 1 dependents
jolars
qualpalr:Automatic Generation of Qualitative Color Palettes
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.
Maintained by Johan Larsson. Last updated 6 months ago.
2.0 match 23 stars 7.45 score 162 scripts 1 dependents
symbolixau
colourvalues:Assigns Colours to Values
Maps one of the viridis colour palettes, or a user-specified palette to values. Viridis colour maps are created by Stéfan van der Walt and Nathaniel Smith, and were set as the default palette for the 'Python' 'Matplotlib' library <https://matplotlib.org/>. Other palettes available in this library have been derived from 'RColorBrewer' <https://CRAN.R-project.org/package=RColorBrewer> and 'colorspace' <https://CRAN.R-project.org/package=colorspace> packages.
Maintained by David Cooley. Last updated 1 years ago.
0.8 match 46 stars 7.54 score 122 scripts 6 dependents
matthewkling
colors3d:Generate 2D and 3D Color Palettes
Generate multivariate color palettes to represent two-dimensional or three-dimensional data in graphics (in contrast to standard color palettes that represent just one variable). You tell 'colors3d' how to map color space onto your data, and it gives you a color for each data point. You can then use these colors to make plots in base 'R', 'ggplot2', or other graphics frameworks.
Maintained by Matthew Kling. Last updated 1 years ago.
1.8 match 3 stars 3.18 score 2 scripts
rogiersbart
spectralscale:A consistent set of Spectral-based palettes and scales
This package provides a consistent set of palettes, all based on the ColorBrewer Spectral palette, as approximated in hcl space by the recent colorspace package. The different palettes and corresponding ggplot2 scales should be able to handle most use cases for continuous and discrete scales, including sequential, diverging and qualitative palettes, with single or double hue gradients. Moreover, they all have been checked with respect to the different types of CVD, and should behave reasonably well for most people.
Maintained by Bart Rogiers. Last updated 5 years ago.
0.5 match 3.00 score 1 scripts