| Title: | Don't Overthink Your Palette of Colors |
|---|---|
| Description: | Access diverse 'ggplot2'-compatible color palettes for simplified data visualization. |
| Authors: | Jorge Mestre [aut, cre] |
| Maintainer: | Jorge Mestre <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 0.0.2 |
| Built: | 2025-02-16 05:47:36 UTC |
| Source: | https://github.com/jmestret/doypacolors |
This function provides access to the DOYPAColors palettes, which are categorized into sequential, diverging, and qualitative types. You can select a palette, define the number of colors, reverse the order, and interpolate colors as a gradient.
doypa( palette = NULL, n = NULL, reverse = FALSE, gradient = FALSE, type = "all", colorblind = FALSE )doypa( palette = NULL, n = NULL, reverse = FALSE, gradient = FALSE, type = "all", colorblind = FALSE )
palette |
A character string specifying the name of the palette to use. If 'NULL', a random palette will be selected. |
n |
An integer specifying the number of colors to return. If 'NULL', the full palette is returned. |
reverse |
A logical value indicating whether to reverse the order of colors in the palette. Default is 'FALSE'. |
gradient |
A logical value indicating whether to interpolate colors as a gradient of 'n' colors between the first and last colors of the palette. If 'FALSE', returns the first 'n' colors of the palette. |
type |
A character string specifying the type of palettes to select from: "all", "seq" (sequential), "div" (diverging), or "qual" (qualitative). Default is "all". |
colorblind |
A logical value indicating whether to restrict the palette to colorblind-friendly options. Default is 'FALSE'. |
A character vector of colors.
'list_doypa_pals' to list available palettes. 'preview_doypa_pals' to preview all color palettes.
# Get a palette by name colors <- doypa("buzz") print(colors) # Get a random palette colors <- doypa() print(colors) # Get a palette with a specific number of colors colors <- doypa("google", n = 3) print(colors) # Reverse the order of the palette colors <- doypa("buzz", reverse = TRUE) print(colors) # Interpolate colors as a gradient colors <- doypa("buzz", n = 10, gradient = TRUE) print(colors)# Get a palette by name colors <- doypa("buzz") print(colors) # Get a random palette colors <- doypa() print(colors) # Get a palette with a specific number of colors colors <- doypa("google", n = 3) print(colors) # Reverse the order of the palette colors <- doypa("buzz", reverse = TRUE) print(colors) # Interpolate colors as a gradient colors <- doypa("buzz", n = 10, gradient = TRUE) print(colors)
This function provides a list of all available DOYPAColors color palettes, categorized by type: sequential, diverging, and qualitative. It helps users to explore the various color palettes available for use in their visualizations.
list_doypa_pals()list_doypa_pals()
A named list containing the names of available color palettes for each type: "sequential", "diverging", and "qualitative".
# List available DOYPAColors color palettes by type palette_names <- list_doypa_pals() print(palette_names)# List available DOYPAColors color palettes by type palette_names <- list_doypa_pals() print(palette_names)
This function generates a visual preview of DOYPAColors color palettes. It helps users explore and select color schemes for their data visualizations by displaying each palette in a grid format.
preview_doypa_pals(type = "all", colorblind = FALSE)preview_doypa_pals(type = "all", colorblind = FALSE)
type |
Character string specifying the type of palettes to preview. Options are: "all" (default), "seq" (sequential), "div" (diverging), or "qual" (qualitative). |
colorblind |
Logical. If 'TRUE', restricts the preview to palettes designed with colorblind individuals in mind. |
A 'ggplot' visualization displaying the DOYPAColors color palettes, facilitating exploration and selection of color schemes for data visualizations.
# Preview all available DOYPAColors palettes preview_doypa_pals() # Preview only sequential DOYPAColors palettes preview_doypa_pals(type = "seq") # Preview colorblind-friendly DOYPAColors palettes preview_doypa_pals(colorblind = TRUE)# Preview all available DOYPAColors palettes preview_doypa_pals() # Preview only sequential DOYPAColors palettes preview_doypa_pals(type = "seq") # Preview colorblind-friendly DOYPAColors palettes preview_doypa_pals(colorblind = TRUE)
This function generates a visual preview of a DOYPAColors palette with multiple plots. It includes a direct palette preview, a scatter plot, a bar plot, and a heatmap, each using the specified palette.
preview_pal(palette, seed = NULL)preview_pal(palette, seed = NULL)
palette |
A character string specifying the name of the palette to use. |
seed |
An optional seed for reproducibility of random numbers. |
A 'ggplot' object with multiple plots arranged in a grid, showcasing the color palette in different visualizations.
# Preview a DOYPAColors palette with multiple plots preview_pal(palette = "buzz")# Preview a DOYPAColors palette with multiple plots preview_pal(palette = "buzz")
This function sets the color scale for ggplot2 using DOYPAColors color palettes, allowing you to apply these palettes to both discrete and continuous data.
scale_color_doypa( palette = NULL, n = NULL, reverse = FALSE, gradient = FALSE, discrete = FALSE, type = "all", colorblind = FALSE, ... )scale_color_doypa( palette = NULL, n = NULL, reverse = FALSE, gradient = FALSE, discrete = FALSE, type = "all", colorblind = FALSE, ... )
palette |
A character string specifying the name of the palette to use. If 'NULL', a random palette will be selected. |
n |
Number of colors needed. If 'NULL', it will default to the number of levels for discrete scales or to a continuous gradient for continuous scales. |
reverse |
A logical value indicating whether to reverse the order of colors in the palette. Default is 'FALSE'. |
gradient |
A logical value indicating whether to interpolate colors as a gradient of 'n' colors between the first and last colors of the palette. If 'FALSE', returns the first 'n' colors of the palette. |
discrete |
Boolean indicating whether to generate a discrete or continuous palette (default: continuous). |
type |
A character string specifying the type of palettes to select from: "all", "seq" (sequential), "div" (diverging), or "qual" (qualitative). Default is "all". |
colorblind |
A logical value indicating whether to restrict the palette to colorblind-friendly options. Default is 'FALSE'. |
... |
Additional parameters passed to ggplot2's 'scale_color_*' functions. |
A 'ggplot2' color scale suitable for adding to a 'ggplot2' object to control color aesthetics.
library(ggplot2) # Discrete data data(iris) disc <- ggplot(iris, aes(x = Petal.Width, y = Petal.Length, color = Species)) + geom_point() + theme_classic() disc <- disc + scale_color_doypa(palette = "buzz", discrete = TRUE) print(disc) # Continuous data cont <- ggplot(iris, aes(x = Petal.Width, y = Petal.Length, color = Sepal.Length)) + geom_point() + theme_classic() cont <- cont + scale_color_doypa(palette = "buzz") print(cont) # Colorblind-friendly palette disc_colorblind <- ggplot(iris, aes(x = Petal.Width, y = Petal.Length, color = Species)) + geom_point() + theme_classic() disc_colorblind <- disc_colorblind + scale_color_doypa(colorblind = TRUE, discrete = TRUE) print(disc_colorblind)library(ggplot2) # Discrete data data(iris) disc <- ggplot(iris, aes(x = Petal.Width, y = Petal.Length, color = Species)) + geom_point() + theme_classic() disc <- disc + scale_color_doypa(palette = "buzz", discrete = TRUE) print(disc) # Continuous data cont <- ggplot(iris, aes(x = Petal.Width, y = Petal.Length, color = Sepal.Length)) + geom_point() + theme_classic() cont <- cont + scale_color_doypa(palette = "buzz") print(cont) # Colorblind-friendly palette disc_colorblind <- ggplot(iris, aes(x = Petal.Width, y = Petal.Length, color = Species)) + geom_point() + theme_classic() disc_colorblind <- disc_colorblind + scale_color_doypa(colorblind = TRUE, discrete = TRUE) print(disc_colorblind)
This function sets the color scale for ggplot2 using DOYPAColors color palettes, allowing you to apply these palettes to both discrete and continuous data.
scale_colour_doypa( palette = NULL, n = NULL, reverse = FALSE, gradient = FALSE, discrete = FALSE, type = "all", colorblind = FALSE, ... )scale_colour_doypa( palette = NULL, n = NULL, reverse = FALSE, gradient = FALSE, discrete = FALSE, type = "all", colorblind = FALSE, ... )
palette |
A character string specifying the name of the palette to use. If 'NULL', a random palette will be selected. |
n |
Number of colors needed. If 'NULL', it will default to the number of levels for discrete scales or to a continuous gradient for continuous scales. |
reverse |
A logical value indicating whether to reverse the order of colors in the palette. Default is 'FALSE'. |
gradient |
A logical value indicating whether to interpolate colors as a gradient of 'n' colors between the first and last colors of the palette. If 'FALSE', returns the first 'n' colors of the palette. |
discrete |
Boolean indicating whether to generate a discrete or continuous palette (default: continuous). |
type |
A character string specifying the type of palettes to select from: "all", "seq" (sequential), "div" (diverging), or "qual" (qualitative). Default is "all". |
colorblind |
A logical value indicating whether to restrict the palette to colorblind-friendly options. Default is 'FALSE'. |
... |
Additional parameters passed to ggplot2's 'scale_colour_*' functions. |
A 'ggplot2' color scale suitable for adding to a 'ggplot2' object to control color aesthetics.
This function sets the fill scale for ggplot2 using DOYPAColors color palettes, allowing you to use these palettes in your ggplot2 visualizations for both discrete and continuous data.
scale_fill_doypa( palette = NULL, n = NULL, reverse = FALSE, gradient = FALSE, discrete = FALSE, type = "all", colorblind = FALSE, ... )scale_fill_doypa( palette = NULL, n = NULL, reverse = FALSE, gradient = FALSE, discrete = FALSE, type = "all", colorblind = FALSE, ... )
palette |
A character string specifying the name of the palette to use. If 'NULL', a random palette will be selected. |
n |
Number of colors needed. If 'NULL', it will default to the number of levels for discrete scales or to a continuous gradient for continuous scales. |
reverse |
A logical value indicating whether to reverse the order of colors in the palette. Default is 'FALSE'. |
gradient |
A logical value indicating whether to interpolate colors as a gradient of 'n' colors between the first and last colors of the palette. If 'FALSE', returns the first 'n' colors of the palette. |
discrete |
Boolean indicating whether to generate a discrete or continuous palette (default: continuous). |
type |
A character string specifying the type of palettes to select from: "all", "seq" (sequential), "div" (diverging), or "qual" (qualitative). Default is "all". |
colorblind |
A logical value indicating whether to restrict the palette to colorblind-friendly options. Default is 'FALSE'. |
... |
Additional parameters passed to ggplot2's 'scale_fill_*' functions. |
A 'ggplot2' fill scale suitable for adding to a 'ggplot2' object to control fill aesthetics.
library(ggplot2) # Discrete data data(iris) disc <- ggplot(iris, aes(x = Species, y = Petal.Length, fill = Species)) + geom_boxplot() + theme_classic() disc <- disc + scale_fill_doypa(palette = "buzz", discrete = TRUE) print(disc) # Continuous data cont <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) + geom_tile() + theme_classic() cont <- cont + scale_fill_doypa(palette = "buzz") print(cont) # Colorblind-friendly palette disc_colorblind <- ggplot(iris, aes(x = Species, y = Petal.Length, fill = Species)) + geom_boxplot() + theme_classic() disc_colorblind <- disc_colorblind + scale_fill_doypa(colorblind = TRUE, discrete = TRUE) print(disc_colorblind)library(ggplot2) # Discrete data data(iris) disc <- ggplot(iris, aes(x = Species, y = Petal.Length, fill = Species)) + geom_boxplot() + theme_classic() disc <- disc + scale_fill_doypa(palette = "buzz", discrete = TRUE) print(disc) # Continuous data cont <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) + geom_tile() + theme_classic() cont <- cont + scale_fill_doypa(palette = "buzz") print(cont) # Colorblind-friendly palette disc_colorblind <- ggplot(iris, aes(x = Species, y = Petal.Length, fill = Species)) + geom_boxplot() + theme_classic() disc_colorblind <- disc_colorblind + scale_fill_doypa(colorblind = TRUE, discrete = TRUE) print(disc_colorblind)