Start using spectralscale

library(ggplot2)
theme_set(theme_minimal())

Palettes

Proposal

spectralscale:::palette_overview()

Use

Scales

Proposal

Use

Discrete

dsamp <- diamonds[sample(nrow(diamonds), 1000), ]
d <- ggplot(dsamp, aes(carat, price)) +
  geom_point(aes(colour = clarity), size = 3)

d <- ggplot(dsamp, aes(depth, price)) +
  geom_point(aes(colour = cut), size = 3)

d + spectralscale::colour_d()

d + spectralscale::colour_d(rev = TRUE)

d + spectralscale::colour_d("warm")

d + spectralscale::colour_d("cold")

d + spectralscale::colour_d("div") # same as default

d + spectralscale::colour_d("qual")

d + spectralscale::colour_d("pair")

Continuous

v <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) +
       geom_tile()
v + spectralscale::fill_c()

v + spectralscale::fill_c(rev = TRUE)

v + spectralscale::fill_b("warm") # same as default

v + spectralscale::fill_c("cold")

v + spectralscale::fill_c("div", mid = 0.02)

Binned

v + spectralscale::fill_b()

v + spectralscale::fill_b(rev = TRUE)

v + spectralscale::fill_b("warm") # same as default

v + spectralscale::fill_b("cold")

v + spectralscale::fill_b("div", mid = 0.0175, n.breaks = 8)