lares_pal: Personal Colours Palette

In lares: Lean Analytics and Robust Exploration Sidekick

Personal Colours Palette

Description

Fetch customizable palettes for the library's usage. The package has its own default colour-blind friendly colours but can be customized using R internal options (i.e. options("lares.palette" = c("#FF8303" = "#000", "#40A4D8" = "#FFF", ...)). There are 3 options you can use to customize all colour palletes: "lares.palette" (vector, will be used in the same order as passed, and must have a counter colour defined), "lares.colours" (vector, simple colour names and their HEX codes), and "lares.colours.custom" (data.frame, containing "values" to use dynamically, "fill" for main colour, and "colour" (not obligatory) for counter colour).

Usage

lares_pal(return = "list")

Arguments

return

Character. Get only what you need. Select any of: "all" or "list" (list), "colors" or "colours" (vector), "pal" or "palette" (named vector), "simple" (named vector), "custom" or "personal" (data.frame)

Value

Depending on the return input, we get a:

• vector with palette results vector

• vector with palette results vector's names

• list with palette results vector, labels results data.frame, and simple results named vector

See Also

Other Themes: gg_fill_customs(), plot_palette(), theme_lares()

Examples

# Simple colour-named palette
lares_pal("simple")

# Raw colours and counter-colours
# OR simply: lares_pal("palette")
nice_palette <- lares_pal("colours")
nice_palette_ctr <- as.vector(lares_pal()$palette)
lapply(list(nice_palette, nice_palette_ctr), head)

# Personal colours by name
df <- lares_pal("custom")
df[sample(nrow(df), 5), ]

lares documentation built on Aug. 18, 2025, 5:12 p.m.