The cetcolor
package is
designed to bring to R the 56 colour maps created by Peter
Kovesi that avoid points of locally high colour
contrast leading to the perception of false anomalies in your data when
there is none. The colour maps have been designed to avoid this
phenomenon by having uniform perceptual contrast over their whole range.
The cetcolor
package is available on both CRAN and GitHub. The CRAN
version is considered stable while the GitHub version is in a state of
development and may break.
You can install the stable version of the cetcolor
package with:
install.packages("cetcolor")
For the development version, you can opt for:
install.packages("remotes")
remotes::install_github("coatless-rpkg/cetcolor")
# Load the Library
library("cetcolor")
# Get RGB Hexadecimals for graphing
cet_pal(5, name = "blues")
#> [1] "#F1F1F1" "#C0D3EB" "#93B5DD" "#7197C1" "#3B7CB2"
# Sample use with ggplot2
library("ggplot2")
ggplot(faithfuld, aes(waiting, eruptions)) +
geom_raster(aes(fill = density)) +
theme_bw() + theme(panel.grid=element_blank()) -> g
library("gridExtra")
# Frequently used colour maps have "nicknames" see ?cet_color_maps
grid.arrange(
g + scale_fill_gradientn(colours = cet_pal(5, name = "fire")),
g + scale_fill_gradientn(colours = cet_pal(5, name = "inferno")),
g + scale_fill_gradientn(colours = cet_pal(5, name = "blues")),
g + scale_fill_gradientn(colours = cet_pal(5, name = "kgy")),
ncol = 2, nrow = 2
)
# Show a panel of possible values (without nicknames)
display_cet_all()
viridis
(Source)RColorBrewer
(Source)cet_pal(n, name)
, and colour map
displays.scales
and
ggplot2
ggplot2
as shown for
RColorBrewer
.James Balamuta and Peter Kovesi
CC BY-SA 4.0
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