This is a small package to provide access to the colour palettes
developed by Fabio Crameri and published at http://www.fabiocrameri.ch/colourmaps.php. It uses more
or less the same api as viridis
and provides scales for ggplot2
without requiring ggplot2 to be installed.
scico can be installed from CRAN with
install.packages('scico'). If you want the development
version then install directly from GitHub:
# install.packages("devtools")
devtools::install_github("thomasp85/scico")scico provides 17 different palettes, all of which are
perceptually uniform and colourblind safe. An overview can be had with
the scico_palette_show() function:
library(scico)
scico_palette_show()
Once you’ve decided on a palette you can generate colour values using
the scico() function:
scico(30, palette = 'lapaz')
#> [1] "#190C65" "#1D196C" "#1E2575" "#202F7D" "#223A85" "#25448B" "#274E92"
#> [8] "#2A5898" "#2E629D" "#336CA1" "#3774A3" "#3F7DA5" "#4886A6" "#528EA6"
#> [15] "#5F95A5" "#6C9AA3" "#7A9E9F" "#87A19A" "#95A494" "#A2A58F" "#ADA78B"
#> [22] "#BBA989" "#CAAD8A" "#DBB592" "#EBC0A0" "#F6CCB0" "#FBD7C2" "#FDE0D2"
#> [29] "#FFEAE2" "#FFF2F2"scico provides relevant scales for use with
ggplot2. It only suggests ggplot2 in order to
stay lightweight, but if ggplot2 is available you’ll have
access to the scale_[colour|fill]_scico() functions:
library(ggplot2)
volcano <- data.frame(
x = rep(seq_len(ncol(volcano)), each = nrow(volcano)),
y = rep(seq_len(nrow(volcano)), ncol(volcano)),
height = as.vector(volcano)
)
ggplot(volcano, aes(x = x, y = y, fill = height)) +
geom_raster() +
scale_fill_scico(palette = 'davos') 