![]() The palettes names are : Blues, BuGn, BuPu, GnBu, Greens, Greys, Oranges, OrRd, PuBu, PuBuGn, PuRd, Purples, RdPu, Reds, YlGn, YlGnBu YlOrBr, YlOrRd. ![]() Sequential palettes (first list of colors), which are suited to ordered data that progress from low to high (gradient).Pallete_color_generator <- RColorBrewer::brewer. Pallete_names <- rownames(RColorBrewer::) Here's the code used to generate this: number_of_colors <- 4 Here for example 4 colours from all colourbrewer palletes in a data frame: # install.packages('RColorBrewer') You could generate the pallete with a package and generate the 'hard coded' code that recreates them with base R only. "colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes." Journal of Statistical Software. Zeileis, Fisher, Hornik, Ihaka, McWhite, Murrell, Stauffer, Wilke (2020)."HCL-Based Color Palettes in grDevices." The R Blog. The following blog post provides more details and the paper about the colorspace package explains more related/underlying work. The default is the popular viridis palette. It provides approximations (derived using the hue-chroma-luminance color model) to many palettes from, viridis, CARTO colors, Crameri's scientific colors etc. In addition to the qualitative palettes above, base R also has a new function hcl.colors() since version 3.6.0 that makes many sequential and diverging palettes available that are also robust under color vision deficiencies. ![]() Sequential and diverging palettes in base R
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