The taylor package comes with it's own class of color palettes, inspired by the work of Josiah Parry in the cpcinema package.
taylor uses vctrs to create a special vector class of color palettes that can be used to create and visualize palettes. We can create a palette using the color_palette()
function. We only have to pass a vector of hexadecimal values or valid R color (from colors()
), and a palette is created that will print a preview of the colors.
library(taylor) my_pal <- color_palette(c("firebrick", "turquoise", "#0051ba")) my_pal
We can also use color_palette()
on an existing palette to interpolate additional values, by specifying that we want more colors than were originally specified.
my_big_pal <- color_palette(my_pal, n = 10) my_big_pal
Similarly, if we have a large color palette, we can select just a few representative colors.
my_small_pal <- color_palette(my_big_pal, n = 5) my_small_pal
The taylor package comes with a few palettes built-in, based on Taylor Swift's album covers. They can be viewed using taylor::album_palettes
.
album_palettes
Or we can access a single palette.
album_palettes$fearless_tv
Also included is a palette that includes one representative color from each album, taylor::album_compare
.
album_compare
The taylor package comes with a set of functions built in for plotting in ggplot2 with the album palettes. For example, we can use scale_fill_taylor_c()
to create a continuous scale based on one of the album palettes. For more details on how to use the scale functions included in taylor, check out vignette("plotting")
.
library(ggplot2) p <- ggplot(faithfuld, aes(waiting, eruptions, fill = density)) + geom_tile() + theme_minimal() p + scale_fill_taylor_c(album = "Fearless (Taylor's Version)")
You can also use your custom palettes with ggplot2. For example, we can create a palette of greens, and then use ggplot2::scale_fill_gradientn()
or ggplot2::scale_color_gradientn()
to use the palette.
green_pal <- color_palette(c("#E5F5E0", "#A1D99B", "#31A354")) green_pal ggplot(faithfuld, aes(waiting, eruptions, fill = density)) + geom_tile() + scale_fill_gradientn(colors = green_pal) + theme_minimal()
Finally, if we have a discrete scale, we can use ggplot2::scale_fill_manual()
or ggplot2::scale_color_manual()
. Here, we use the palmerpenguins to map our palette to the species of penguin.
library(palmerpenguins) penguin_pal <- color_palette(c(Adelie = "firebrick", Chinstrap = "goldenrod", Gentoo = "navy")) penguin_pal ggplot(penguins, aes(x = bill_length_mm, y = bill_depth_mm)) + geom_point(aes(shape = species, color = species), size = 3) + scale_color_manual(values = penguin_pal) + theme_minimal()
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