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The goal of rcartocolor is to provide color schemes for
maps and other graphics designed by CARTO as described at https://carto.com/carto-colors/.
Get the released version from CRAN:
install.packages("rcartocolor")Get the development version from github:
# install.packages("remotes")
remotes::install_github("Nowosad/rcartocolor")Display a CARTOcolor palette:
library(rcartocolor)
display_carto_pal(7, "Vivid")
Create a CARTOcolor palette:
my_colors = carto_pal(7, "Burg")
my_colors
#> [1] "#FFC6C4" "#F4A3A8" "#E38191" "#CC607D" "#AD466C" "#8B3058" "#672044"Display all of the CARTOcolor palettes:
display_carto_all()
Only display colorblind friendly palettes:
display_carto_all(colorblind_friendly = TRUE)
The rcartocolor package contains four
ggplot2 color scales: two for continuous data -
scale_fill_carto_c, scale_color_carto_c and
two for discrete data - scale_fill_carto_d,
scale_color_carto_d:
# devtools::install_github("tidyverse/ggplot2")
library(sf)
#> Linking to GEOS 3.11.1, GDAL 3.6.4, PROJ 9.1.1; sf_use_s2() is TRUE
library(spData)
#> To access larger datasets in this package, install the spDataLarge
#> package with: `install.packages('spDataLarge',
#> repos='https://nowosad.github.io/drat/', type='source')`
library(ggplot2)
ggplot(world, aes(fill = lifeExp)) +
geom_sf(data = world) +
coord_sf(crs = "+proj=robin") +
scale_fill_carto_c(name = "Life expectancy: ",
type = "diverging", palette = "Earth", direction = -1) +
theme_void()
ggplot(world, aes(fill = region_un)) +
geom_sf(data = world) +
coord_sf(crs = "+proj=robin") +
scale_fill_carto_d(name = "Region: ", palette = "Safe") +
theme_void()
Feel free to submit issues and enhancement requests.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.