https://github.com/jennybc/repurrrsive

Recursive lists to use in teaching and examples, because there is no mtcars for lists.
https://github.com/jennybc/repurrrsive

data json package r xml

Last synced: 5 days ago
JSON representation

Recursive lists to use in teaching and examples, because there is no mtcars for lists.

• Host: GitHub
• URL: https://github.com/jennybc/repurrrsive
• Owner: jennybc
• Created: 2016-10-22T19:59:07.000Z (over 8 years ago)
• Default Branch: main
• Last Pushed: 2023-08-08T03:44:11.000Z (over 1 year ago)
• Last Synced: 2024-04-26T05:23:39.874Z (9 months ago)
• Topics: data, json, package, r, xml
• Language: R
• Homepage: https://jennybc.github.io/repurrrsive/
• Size: 2.24 MB
• Stars: 133
• Watchers: 7
• Forks: 22
• Open Issues: 5
• Metadata Files:
  • Readme: README.Rmd
  • Code of conduct: .github/CODE_OF_CONDUCT.md

Awesome Lists containing this project

• jimsghstars - jennybc/repurrrsive - Recursive lists to use in teaching and examples, because there is no mtcars for lists. (R)

README

        
---

output: github_document

---

[![CRAN status](https://www.r-pkg.org/badges/version/repurrrsive)](https://CRAN.R-project.org/package=repurrrsive)

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

[![Codecov test coverage](https://codecov.io/gh/jennybc/repurrrsive/branch/main/graph/badge.svg)](https://app.codecov.io/gh/jennybc/repurrrsive?branch=main)

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>", 

  error = TRUE,

  fig.path = "README-"

)

```

# repurrrsive

The repurrrsive package provides recursive lists that are handy when teaching or exampling functions such as `purrr::map()` and the [rectangling functions](https://tidyr.tidyverse.org/articles/rectangle.html) in the tidyr package.

The datasets are stored as R list, JSON, and XML to provide the full non-rectangular data experience.

Enjoy!

This package also includes the main data frame from the [gapminder package](https://CRAN.R-project.org/package=gapminder) in 3 different forms: simple data frame (no list-columns), data frame nested by country, and split into a named list of data frames.

## Installation

You can install repurrrsive from CRAN like so:

```{r cran-installation, eval = FALSE}

install.packages("repurrrsive")

```

or from GitHub with:

```{r gh-installation, eval = FALSE}

# install.packages("pak")

pak::pak("jennybc/repurrrsive")

```

## Recursive list examples

repurrrsive contains several datasets that are recursive lists, both in the form of R objects and as JSON and/or XML files.

For example, `got_chars` is a list with information on the `r length(repurrrsive::got_chars)` point-of-view characters from the first five books in the Song of Ice and Fire series by George R. R. Martin.

Here's how to use `purrr::map_chr()` to extract the character's names:

```{r}

library(repurrrsive)

library(purrr)

map_chr(got_chars, "name")

```

Each set of recursive lists has its own article that gives a sense of what sort of manipulations can be demonstrated with the dataset(s):

* Game of Thrones characters

* Data on entities in the Star Wars universe

* GitHub user and repo data

* Sharla Gelfand's music collection

* Color palettes from Wes Anderson movies

Learn more at .

## Nested and split data frames

The Gapminder data, from the [gapminder package](https://github.com/jennybc/gapminder), is also here in various forms to allow practice of different styles of grouped computation.

For example, the `gap_nested` dataset has one row per country, with a nested `data` column containing longitudinal data for life expectancy, population, and GDP per capita.

```{r}

gap_nested

```