Brand color scales for ggplot2

scale_*_brand_*() functions provide color scales for ggplot2 based on brand colors defined in the _brand.yml file. These functions create discrete, continuous, or binned scales with sequential, diverging, or qualitative color palettes that match your brand identity.

Usage

scale_brand(
  aesthetics = "color",
  scale_type = "c",
  color_type = "seq",
  alpha = NULL,
  direction = 1,
  na.value = NA,
  reverse = FALSE,
  ...
)

scale_color_brand_d(
  aesthetics = "color",
  scale_type = "d",
  color_type = "qual",
  alpha = NULL,
  direction = 1,
  na.value = NA,
  reverse = FALSE,
  ...
)

scale_color_brand_c(
  aesthetics = "color",
  scale_type = "c",
  color_type = "seq",
  alpha = NULL,
  direction = 1,
  na.value = NA,
  reverse = FALSE,
  ...
)

scale_color_brand_b(
  aesthetics = "color",
  scale_type = "b",
  color_type = "seq",
  alpha = NULL,
  direction = 1,
  na.value = NA,
  reverse = FALSE,
  ...
)

scale_colour_brand_d(
  aesthetics = "color",
  scale_type = "d",
  color_type = "qual",
  alpha = NULL,
  direction = 1,
  na.value = NA,
  reverse = FALSE,
  ...
)

scale_colour_brand_c(
  aesthetics = "color",
  scale_type = "c",
  color_type = "seq",
  alpha = NULL,
  direction = 1,
  na.value = NA,
  reverse = FALSE,
  ...
)

scale_colour_brand_b(
  aesthetics = "color",
  scale_type = "b",
  color_type = "seq",
  alpha = NULL,
  direction = 1,
  na.value = NA,
  reverse = FALSE,
  ...
)

scale_fill_brand_d(
  aesthetics = "fill",
  scale_type = "d",
  color_type = "qual",
  alpha = NULL,
  direction = 1,
  na.value = NA,
  reverse = FALSE,
  ...
)

scale_fill_brand_c(
  aesthetics = "fill",
  scale_type = "c",
  color_type = "seq",
  alpha = NULL,
  direction = 1,
  na.value = NA,
  reverse = FALSE,
  ...
)

scale_fill_brand_b(
  aesthetics = "fill",
  scale_type = "b",
  color_type = "seq",
  alpha = NULL,
  direction = 1,
  na.value = NA,
  reverse = FALSE,
  ...
)

Arguments

aesthetics

(Optional) A character string indicating the name of the aesthetic of the scale (e.g., "color", "fill") (Default: "color").

scale_type

(Optional) A character string indicating the type of scale: "d"/"discrete", "c"/"continuous", or "b"/"binned" (Default: "c").

color_type

(Optional) A character string indicating the type of color scale: "seq"/"sequential", "div"/"diverging", or "qual"/"qualitative" (Default: "seq").

alpha

(Optional) A number between 0 and 1, indicating the transparency of the colors (Default: NULL).

direction

(Optional) A number (1 or -1) indicating the direction of the colors. If 1, the order remains the same. If -1, the order is reversed. (Default: 1).

na.value

(Optional) A character string indicating the color to use for missing values. It must contain a hexadecimal color code or one of the values output by colors() (Default: NA).

reverse

(Optional) A logical flag indicating whether the legend or color bar should be reversed (Default: FALSE).

...

Additional arguments passed to the ggplot2 scale function: discrete_scale(), continuous_scale(), or binned_scale().

Value

A ggplot2 scale object.

Details

Path to _brand.yml

brandr will always look for a _brand.yml file in the root directory of your project. If the file is not found, an error message will be displayed. You can also set the path to the file manually using the options() function:

options(BRANDR_BRAND_YML = "PATH_TO_BRAND.YML")

Brand Color Scales

To control the colors for each brand color scale, assign the desired hexadecimal color codes in a character vector to the following options:

• BRANDR_COLOR_SEQUENTIAL: For sequential color scales

• BRANDR_COLOR_DIVERGING: For diverging color scales

• BRANDR_COLOR_QUALITATIVE: For qualitative color scales

You can use get_brand_color() to get the hexadecimal color codes from the _brand.yml file.

Example:

options(
  BRANDR_COLOR_SEQUENTIAL =
    get_brand_color(c("primary", "secondary")),
  BRANDR_COLOR_DIVERGING =
    get_brand_color(c("primary", "white", "secondary")),
  BRANDR_COLOR_QUALITATIVE =
    get_brand_color(c("primary", "secondary", "tertiary"))
)

Examples

if (requireNamespace(
      c("palmerpenguins", "tidyr", "ggplot2"),
      quiet = TRUE
    )
   ) {
  library(ggplot2)
  library(palmerpenguins)
  library(tidyr)

  penguins |>
    drop_na(bill_length_mm, species) |>
    ggplot(aes(x = species, y = bill_length_mm, fill = species)) +
    geom_boxplot(outlier.color = get_brand_color("red")) +
    geom_jitter(width = 0.2, alpha = 0.1) +
    scale_fill_brand_d(alpha = 0.5) +
    labs(
      x = "Species",
      y = "Bill Length (mm)",
      fill = "Species"
    ) +
    theme_bw()
}


if (requireNamespace(
      c("palmerpenguins", "tidyr", "ggplot2"),
      quiet = TRUE
    )
   ) {
  library(ggplot2)
  library(palmerpenguins)
  library(tidyr)

  penguins |>
  drop_na(flipper_length_mm, species) |>
    ggplot(aes(x = flipper_length_mm, fill = species)) +
      geom_histogram(alpha = 0.5, bins = 30, position = "identity") +
      scale_fill_brand_d() +
      labs(
        x = "Flipper Length (mm)",
        y = "Frequency",
        fill = "Species"
      ) +
      theme_bw()
}


if (requireNamespace(
      c("palmerpenguins", "tidyr", "ggplot2"),
      quiet = TRUE
    )
   ) {
  library(ggplot2)
  library(palmerpenguins)
  library(tidyr)

  penguins |>
    drop_na(flipper_length_mm, body_mass_g, species) |>
    ggplot(
      aes(
        x = flipper_length_mm,
        y = body_mass_g,
        color = species,
        shape = species
      )
    ) +
    geom_point(size = 2) +
    geom_smooth(method = "lm", formula = y ~ x, se = FALSE) +
    scale_color_brand_d() +
    labs(
      x = "Flipper Length (mm)",
      y = "Body Mass (g)",
      color = "Species",
      shape = "Species"
    ) +
    theme_bw()
}


if (requireNamespace("ggplot2", quiet = TRUE)) {
  library(ggplot2)

  faithfuld |>
    ggplot(aes(waiting, eruptions, fill = density)) +
    geom_raster() +
    scale_fill_brand_b() +
    labs(
      x = "Waiting Time to Next Eruption (min)",
      y = "Eruption Time (min)",
      fill = "Density"
    ) +
    theme_bw()
}


if (requireNamespace("ggplot2", quiet = TRUE)) {
  library(ggplot2)
  library(hexbin)

  data.frame(x = runif(10000), y = runif(10000)) |>
    ggplot(aes(x, y)) +
    geom_hex() +
    coord_fixed() +
    scale_fill_brand_c() +
    labs(fill = "") +
    theme_bw()
}