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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")
::install_github("thomasp85/scico") devtools
scico
provides 39 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] "#190C64" "#1C176B" "#202272" "#212B79" "#243580" "#263D86" "#29478B"
#> [8] "#2C5091" "#2F5996" "#33619A" "#37699D" "#3D71A0" "#4479A1" "#4D81A2"
#> [15] "#5688A4" "#608EA2" "#6B94A1" "#77999F" "#839E9C" "#90A198" "#9BA495"
#> [22] "#A9A895" "#B7AD96" "#C7B59C" "#D7BEA6" "#E5C9B3" "#F0D4C3" "#F7DFD3"
#> [29] "#FCE9E3" "#FEF2F2"
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)
<- data.frame(
volcano 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')
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.