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  • Created almost 5 years ago
  • Updated about 1 year ago

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Repository Details

๐Ÿ“ผ๐Ÿ‘พ๐Ÿ•นVaporwave themes and color palettes for ggplot2๐Ÿ’พ๐Ÿ‘จโ€๐ŸŽค๐Ÿ“บ

VapoRwave Themes

License: MIT

Contact: - Twitter - GitHub - Personal Website

Table of Contents

Overview

vapoRwave is an R package that provides ggplot2 themes inspired by the vaporwave movement, a genre of electronic music and art characterized by nostalgic and satirical takes on consumer capitalism, glitch art, anime, 3D-rendered objects, and cyberpunk tropes.

Explore the aesthetics of vaporwave through themes that mimic iconic album covers and visual styles.

Installation

Use the devtools package to install it.

devtools::install_github("moldach/vapoRwave")

# To include the vignette
devtools::install_github("moldach/vapoRwave", build_vignettes=TRUE)

Load packages:

library(vapoRwave)
library(ggplot2)
library(extrafont)

Windows Font Installation

While Ubuntu users can effortlessly install fonts, Windows users are required to take an additional step to utilize the fonts provided.

The fonts from the vapoRwave package will be locally installed in C:\Windows\Users\<username>\MyFonts\. To use them, move/copy the fonts to Control Panel -> Appearance and Personalization -> Fonts.

After each new R session, execute the following commands to make the fonts available:

library(extrafont)
# Import the TrueType fonts
font_import(paths = "C:/Windows/Fonts/", recursive = TRUE)

Select Y to continue:

Themes

Floral Shoppe

ggplot(mpg, aes(displ)) + 
        geom_histogram(aes(fill=class), 
                   binwidth = .1, 
                   col="black", 
                   size=.1) +  # change binwidth
        labs(title="Floral Shoppe", 
        subtitle="Engine Displacement across Vehicle Classes") + floral_shoppe() + scale_fill_floralShoppe()

New Retro Wave

options(scipen=999)  # turn-off scientific notation like 1e+48
data("midwest", package = "ggplot2")
ggplot(midwest, aes(x=area, y=poptotal)) + 
  geom_point(aes(col=state, size=popdensity)) + 
  geom_smooth(method="loess", se=F, color = "#FA5F70FF") + 
  xlim(c(0, 0.1)) + 
  ylim(c(0, 500000)) + 
  labs(subtitle="Area Vs Population", 
       y="Population", 
       x="Area", 
       title="New Retro Theme", 
       caption = "Source: midwest") + 
        new_retro() + 
        scale_colour_newRetro() +
        guides(size = guide_legend(override.aes = list(colour = "#FA5F70FF")))

JWZ

ggplot(mpg, aes(class, cty)) +
        geom_boxplot(aes(fill=factor(cyl))) + 
        theme(axis.text.x = element_text(angle=65, vjust=0.6)) + 
        labs(title="Box plot", 
             subtitle="City Mileage grouped by Class of vehicle",
             caption="Source: mpg",
             x="Class of Vehicle",
             y="City Mileage") + 
        jwz() +
        scale_fill_jwz()

Vignettes

For more advanced and complex use-cases, as well as detailed examples and customization options, refer to the vapoRwave vignette. The vignette explore diverse demos that include information on various palletes, fonts, changing parameters, and integrating with extensions. For a comprehensive guide, consult the vignette for the full potential of the vapoRwave package.

When users install tha package and want to access the vignettes, they can use the following command to open them:

library(vapoRwave)
browseVignettes("vapoRwave")

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

License

This code is released under the MIT License - see the LICENSE.md file for details.