https://github.com/dill/beyonce

:crown: :bee: :bar_chart: Beyoncé colour palettes for R
https://github.com/dill/beyonce

Last synced: about 2 months ago
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:crown: :bee: :bar_chart: Beyoncé colour palettes for R

• Host: GitHub
• URL: https://github.com/dill/beyonce
• Owner: dill
• Created: 2015-11-10T05:08:59.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2017-05-04T21:08:13.000Z (over 7 years ago)
• Last Synced: 2024-05-21T02:53:49.681Z (4 months ago)
• Language: R
• Homepage:
• Size: 801 KB
• Stars: 79
• Watchers: 8
• Forks: 9
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd

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README

        
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```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "figure/",

  fig.height = 1

)

```

# Beyoncé Palettes

This is a shameless theft/mashup of:

1. [Brendan Hurr's idea](https://twitter.com/bhive01/status/663910585461968896) ([also Karthik's](https://twitter.com/_inundata/status/663910271212122112)) from [Noam Ross's tweet](https://twitter.com/noamross/status/663907049244196864)

2. Code from [Karthik Ram's `wesanderson` palette](https://github.com/karthik/wesanderson)

3. **Foremost**: the 130 amazing palettes from [beyoncepalettes.tumblr.com](http://beyoncepalettes.tumblr.com/)

**Note**: I am (red-green) colourblind. I have no idea whether these colours make sense for data visualisation. Maybe [use `viridis`](https://github.com/sjmgarnier/viridis) if you want people like me to be able to see your plots :)

## Installation

```R

devtools::install_github("dill/beyonce")

```

## Usage

```{r, palettes_dummy}

library(beyonce)

```

```{r, all_palettes, fig.width=5, fig.height=26}

par(mfrow=c(26,5))

for(i in 1:130) print(beyonce_palette(i))

```

```{r, iris_ex, fig.height = 3}

library(ggplot2)

ggplot(iris, aes(Sepal.Length, Sepal.Width, color = Species)) +

  geom_point(size = 3) +

  scale_color_manual(values = beyonce_palette(18)) +

  theme_gray()

```

```{r, mtcars_ex, fig.height = 3}

qplot(factor(cyl), data=mtcars, geom="bar", fill=factor(vs)) +

  scale_fill_manual(values = beyonce_palette(72))

```

```{r, volcano_ex, fig.height = 5, fig.width=5}

pal <- beyonce_palette(123, 21, type = "continuous")

image(volcano, col = pal, asp=1)

```

```{r, heatmap_ex, fig.height = 3}

pal <- beyonce_palette(3, 100, type = "continuous")

# heatmap is a local dataset

ggplot(heatmap, aes(x = X2, y = X1, fill = value)) +

  geom_tile() +

  scale_fill_gradientn(colours = pal) +

  scale_x_discrete(expand = c(0, 0)) +

  scale_y_discrete(expand = c(0, 0)) +

  coord_equal()

```

## Hex values

If you just like the hex values of the palettes, they are available [at this gist](https://gist.github.com/dill/fb75131e618c52564fc9) (one per line).

With apologies, DLM