https://ekholme.github.io/blueycolors/

Provides bluey-inspired color palettes and ggplot2 scales
https://ekholme.github.io/blueycolors/

Last synced: 3 days ago
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Provides bluey-inspired color palettes and ggplot2 scales

• Host: GitHub
• URL: https://ekholme.github.io/blueycolors/
• Owner: ekholme
• License: other
• Created: 2024-05-16T16:23:12.000Z (6 months ago)
• Default Branch: master
• Last Pushed: 2024-05-16T21:01:03.000Z (6 months ago)
• Last Synced: 2024-08-03T23:24:20.904Z (3 months ago)
• Language: R
• Homepage: https://ekholme.github.io/blueycolors/
• Size: 506 KB
• Stars: 8
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# blueycolors

[![R-CMD-check](https://github.com/ekholme/blueycolors/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/ekholme/blueycolors/actions/workflows/R-CMD-check.yaml)

![GitHub last commit](https://img.shields.io/github/last-commit/ekholme/blueycolors)

blueycolors provides color palettes and ggplot2 `color` and `fill` scales inspired by [Bluey](https://www.bluey.tv/)

## Installation

You can install blueycolors from Github via:

``` r

devtools::install_github("ekholme/blueycolors")

```

## Usage

There are probably 2 main uses for this package:

1. Extracting palettes and their associated hex codes

2. Using these palettes as color or fill aesthetics in ggplot

To extract palettes & hex codes, use the `bluey_palette()` function:

```{r}

library(blueycolors)

bluey_palette("bluey")

```

To use the palettes in ggplot, use `scale_color_bluey()` and `scale_fill_bluey()` for discrete scales or `scale_color_bluey_c()` and `scale_fill_bluey_c()` for continuous scales.

```{r}

library(ggplot2)

tmp <- data.frame(

  x = rnorm(100),

  y = rnorm(100),

  z = rep(c("a", "b", "c", "d"), 25)

)

ggplot(tmp, aes(x = x, y = y, color = z)) +

  geom_point() +

  scale_color_bluey()

```

```{r}

tmp2 <- data.frame(

  x = 1:5,

  y = c("a", "b", "c", "d", "e")

) 

ggplot(tmp2, aes(x = x, y = y, fill = y)) +

  geom_col() +

  scale_fill_bluey(option = "socks")

```

There are currently [4 different palettes available](#palettes), but the "heeler" option probably provides the best contrast. 

## Palettes

Bluey (default)

```{r}

library(scales)

show_col(bluey_palette("bluey"))

```

Chilli

```{r}

show_col(bluey_palette("chilli"))

```

Heeler

```{r}

show_col(bluey_palette("heeler"))

```

Socks

```{r}

show_col(bluey_palette("socks"))

```