Get an Insper Color Palette

Returns a named character vector of hex color codes from an Insper palette. When printed interactively, displays a visual color swatch. The result behaves as a plain character vector and can be used directly anywhere colors are accepted.

Usage

insper_palette(palette = "main", n = NULL, reverse = FALSE)

Arguments

palette

Character. Palette name. Use show_insper_palettes to see all options.

n

Integer or NULL. Number of colors to return. If NULL (default), returns all colors in the palette. If n exceeds the palette size, colors are interpolated smoothly using colorRampPalette.

reverse

Logical. If TRUE, reverses the color order. Default FALSE.

Value

An object of class insper_palette (a named character vector of hex codes). Printing displays a visual swatch. Use as.character() to strip the class if needed.

Details

Available palettes by type:

• Qualitative: main, muted, colorblind, cidades

• Sequential: vermelho, turquesa, verde, amarelo, laranja, rosa, roxo, cinza, azul, cidades_folhagem, cidades_solar, cidades_asfalto, cidades_tijolo

• Diverging: vermelho_turquesa (default for diverging data), roxo_verde, laranja_roxo, rosa_verde, cidades_folhagem_asfalto, cidades_folhagem_tijolo

Insper Cidades

Palettes prefixed cidades belong to the Insper Cidades sub-brand (Centro de Estudos das Cidades / Laboratório Arq.Futuro) and are built from its own application manual rather than the institutional brand kit. They are opt-in: nothing in the package defaults to them.

Do not mix them with the institutional palettes in one chart. The two families sit close together in CIELAB — asfalto is only 6.6 dE from roxo, and solar 8.8 dE from laranja — close enough that a chart drawing from both reads as a rendering error rather than a design choice. Pick one family per chart.

The Cidades manual ships no tints or shades, so the four cidades_* sequential ramps are derived: seven steps each, with the official color pinned at position 4. For diverging data prefer cidades_folhagem_asfalto, which has the widest colorblind separation of any diverging palette in the package; cidades_folhagem_tijolo is more symmetric in lightness (so it reads better in greyscale) but pairs green against orange-red, which is hard under red-green color vision deficiency.

All palettes are built from the 2026 Insper brand kit except "colorblind", which is the Okabe-Ito set (https://jfly.uni-koeln.de/color/) and contains no Insper tokens. It is bundled as an accessibility fallback for when the brand hues in "main" cannot be told apart by colorblind readers — "main" mixes red, green, orange and yellow, which is a difficult combination under the common forms of color vision deficiency. Use "main" for on-brand work and reach for "colorblind" when distinguishability matters more than brand fidelity.

See also

show_insper_palettes, scale_color_insper_d, scale_color_insper_c

Other colors: show_insper_palettes()

Examples

# Get all colors from a palette
insper_palette("main")


# Subset to n colors
insper_palette("vermelho", n = 3)


# Reverse order
insper_palette("vermelho_turquesa", reverse = TRUE)


# Use directly in a plot
library(ggplot2)
ggplot(mtcars, aes(wt, mpg)) +
  geom_point(color = insper_palette("vermelho", n = 1))


# Use in manual scales
ggplot(iris, aes(Sepal.Length, Sepal.Width, color = Species)) +
  geom_point() +
  scale_color_manual(values = insper_palette("main", n = 3))