Cesar colour for ggplot2

Usage

scale_colour_cesar_d(
  name = waiver(),
  ...,
  alpha = 1,
  reverse = FALSE,
  palette = "cesar",
  aesthetics = "colour"
)

scale_fill_cesar_d(
  name = waiver(),
  ...,
  alpha = 1,
  reverse = FALSE,
  palette = "cesar",
  aesthetics = "fill"
)

scale_colour_cesar_c(
  name = waiver(),
  ...,
  alpha = 1,
  reverse = FALSE,
  palette = "cesar_green_c",
  guide = "colourbar",
  aesthetics = "colour",
  na.value = "#AFAFAF"
)

scale_fill_cesar_c(
  name = waiver(),
  ...,
  alpha = 1,
  reverse = FALSE,
  palette = "cesar_green_c",
  guide = "colourbar",
  aesthetics = "fill",
  na.value = "#AFAFAF"
)

scale_colour_cesar_b(
  name = waiver(),
  ...,
  alpha = 1,
  reverse = FALSE,
  palette = "cesar_green_c",
  guide = "coloursteps",
  aesthetics = "colour",
  na.value = "#AFAFAF"
)

scale_fill_cesar_b(
  name = waiver(),
  ...,
  alpha = 1,
  reverse = FALSE,
  palette = "cesar_green_c",
  guide = "coloursteps",
  aesthetics = "fill",
  na.value = "#AFAFAF"
)

scale_colour_cesar_g(
  name = waiver(),
  ...,
  mid = 0,
  alpha = 1,
  reverse = FALSE,
  palette = "green_brown_d",
  guide = "colourbar",
  aesthetics = "colour",
  na.value = "#AFAFAF"
)

scale_fill_cesar_g(
  name = waiver(),
  ...,
  mid = 0,
  alpha = 1,
  reverse = FALSE,
  palette = "green_brown_d",
  guide = "colourbar",
  aesthetics = "fill",
  na.value = "#AFAFAF"
)

Arguments

name: The name of the scale. Used as the axis or legend title. If waiver(), the default, the name of the scale is taken from the first mapping used for that aesthetic. If NULL, the legend title will be omitted.
...: Other arguments passed on to discrete_scale(), continuous_scale(), or binned_scale() to control name, limits, breaks, labels and so forth.
alpha: sets transparency of each color
reverse: if true, reverses the order of palette
palette: Choose from 'cesar_palettes' list
aesthetics: Character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with. This can be useful, for example, to apply colour settings to the colour and fill aesthetics at the same time, via aesthetics = c("colour", "fill").
guide: A function used to create a guide or its name. See guides() for more information.
na.value: Missing values will be replaced with this value.

Examples

library(ggplot2)

# Use the cesar palette with discrete data (default)
txsamp <- subset(txhousing, city %in%
  c("Houston", "Fort Worth", "San Antonio", "Dallas", "Austin"))
(d <- ggplot(data = txsamp, aes(x = sales, y = median)) +
   geom_point(aes(colour = city)))

d + theme_cesar() + scale_colour_cesar_d()


# Change scale label
d + theme_cesar() + scale_colour_cesar_d("City\nCenter")


# Select palette to use from names(cesar_palettes)
d + theme_cesar() + scale_colour_cesar_d(palette = "cesar_light")

d + theme_cesar() + scale_colour_cesar_d(palette = "galliano_c")
#> Warning: continuous palette selected and will discretised; consider using one of c("cesar", "cesar_light") instead


# scale_fill_cesar_d works just the same as
# scale_colour_cesar_d but for fill colours
p <- ggplot(txsamp, aes(x = median, fill = city)) +
  geom_histogram(position = "dodge", binwidth = 15000)
p + theme_cesar() + scale_fill_cesar_d()

# the order of colour can be reversed
p + theme_cesar() + scale_fill_cesar_d(reverse = T)


# Use cesar_c with continuous data
(v <- ggplot(faithfuld) +
  geom_tile(aes(waiting, eruptions, fill = density)))

v + theme_cesar() + scale_fill_cesar_c()

v + theme_cesar() + scale_fill_cesar_c(palette = "hobgoblin_c")


# Use cesar_b to bin continuous data before mapping
v + theme_cesar() + scale_fill_cesar_b()


# Use cesar_g for divergent scales
ggplot(faithfuld, aes(waiting, eruptions)) +
geom_raster(aes(fill = density)) +
scale_fill_cesar_g(mid = 0.02) + theme_cesar()

Cesar colour for ggplot2

Usage

Arguments

See also

Examples