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Brand color palettes

Source: R/color_brand.R
color_brand_sequential.Rd

[Maturing]

color_brand_* functions are wrappers of interpolate_colors() for sequential, diverging, and qualitative brand color palettes. They serve as facilitators for getting the colors being used in each brand scale.

Usage

color_brand_sequential(n, alpha = NULL, direction = 1)

color_brand_diverging(n, alpha = NULL, direction = 1)

color_brand_qualitative(n, alpha = NULL, direction = 1)

Arguments

n

This parameter accepts two types of inputs:

  • If the value is an integer number and type is "seq" or "div", the function will return a discrete color spectrum with n colors

  • If the value is an integer number and type is "qual", the function will return n colors from the colors parameter, repeating them if necessary

  • If the value is a numeric vector between 0 and 1, the function will return the color positions at n considering a continuous color spectrum ranging from 0 to 1

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).

Value

A character vector with hexadecimal color codes.

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"))
)

See also

Other color functions: interpolate_colors()

Examples

color_brand_sequential(5)
#> [1] "#390963" "#892B4F" "#DA4E3C" "#EA7220" "#FB9706"
#> [1] "#390963" "#892B4F" "#DA4E3C" "#EA7220" "#FB9706" # Expected

color_brand_diverging(5)
#> [1] "#390963" "#9C84B1" "#FFFFFF" "#FDCB82" "#FB9706"
#> [1] "#390963" "#9C84B1" "#FFFFFF" "#FDCB82" "#FB9706" # Expected

color_brand_qualitative(5)
#> [1] "#DA4E3C" "#390963" "#FB9706" "#DA4E3C" "#390963"
#> [1] "#DA4E3C" "#390963" "#FB9706" "#DA4E3C" "#390963" # Expected

color_brand_qualitative(3, alpha = 0.5)
#> [1] "#DA4E3C80" "#39096380" "#FB970680"
#> [1] "#DA4E3C80" "#39096380" "#FB970680" # Expected