Package 'repurrrsive'

Title: Examples of Recursive Lists and Nested or Split Data Frames
Description: Recursive lists in the form of R objects, 'JSON', and 'XML', for use in teaching and examples. Examples include color palettes, Game of Thrones characters, 'GitHub' users and repositories, music collections, and entities from the Star Wars universe. Data from the 'gapminder' package is also included, as a simple data frame and in nested and split forms.
Authors: Jennifer Bryan [aut, cre] , Charlotte Wickham [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <[email protected]>
License: CC0
Version: 1.1.0.9000
Built: 2024-07-02 02:46:09 UTC
Source: https://github.com/jennybc/repurrrsive

Help Index

Sharla Gelfand's music collection

Description

A music collection, as represented in a recursive list returned from the Discogs API.

Usage

discog

Format

A unnamed list with 155 components, each representing an item in Sharla's music collection.

Source

See Also

Other Discogs data and functions: discog_json()

Examples

length(discog)

str(discog, max.level = 2, list.len = 2)

vapply(discog[1:6], `[[`, c("basic_information", "title"), FUN.VALUE = "")

Path to Discogs data as JSON

Description

Path to Discogs data as JSON

Usage

discog_json()

Value

Local path to JSON file containing Discogs data

See Also

Other Discogs data and functions: discog

Examples

discog_json()
if (require("jsonlite")) {
  d <- fromJSON(discog_json(), simplifyVector = FALSE)
  identical(discog, d)
}

Gapminder data frame in various forms

Description

The main data frame from the gapminder package in three forms:

  1. gap_simple, same as gapminder::gapminder

  2. gap_nested, nested by country and continent

  3. gap_split, split by country

Usage

gap_simple

gap_nested

gap_split

Format

An object of class tbl_df (inherits from tbl, data.frame) with 1704 rows and 6 columns.

Examples

gap_simple
gap_nested

str(gap_split, max.level = 1, list.len = 10)
str(gap_split[[1]])

GitHub repos

Description

Info on GitHub repos, retrieved from the GitHub API.

Usage

gh_repos

Format

A unnamed list with 6 components, each itself a list of 30 repos for a specific GitHub user. Each repo's component is a list of length >60, containing information such as name, owner (a list), fork status, and creation date.

Source

https://developer.github.com/v3/repos/#list-user-repositories

See Also

Other GitHub data and functions: gh_users_json(), gh_users

Examples

str(gh_repos, max.level = 1)
str(gh_repos[[1]], max.level = 1)
str(gh_repos[[1]][[1]])

str(lapply(gh_repos[[1]][1:3], `[`, c("full_name", "created_at")))

GitHub users

Description

Info on GitHub users, retrieved from the GitHub API.

Usage

gh_users

Format

A unnamed list with 6 components, each representing a GitHub user. Each user's component is a list of length 30, containing information such as username, GitHub id, and join date.

Source

https://developer.github.com/v3/users/#get-a-single-user

See Also

Other GitHub data and functions: gh_repos, gh_users_json()

Examples

str(gh_users, max.level = 1)
str(gh_users[[1]])

str(lapply(gh_users, `[`, c("login", "name")))

Paths to GitHub data as JSON and XML

Description

Paths to GitHub data as JSON and XML

Usage

gh_users_json()

gh_repos_json()

gh_users_xml()

gh_repos_xml()

Value

Local path to JSON or XML file containing GitHub data

See Also

Other GitHub data and functions: gh_repos, gh_users

Examples

gh_users_json()
if (require("jsonlite")) {
  ghuj <- fromJSON(gh_users_json(), simplifyDataFrame = FALSE)
  identical(gh_users, ghuj)
}
gh_repos_json()
if (require("jsonlite")) {
  ghrj <- fromJSON(gh_repos_json(), simplifyDataFrame = FALSE)
  identical(gh_repos, ghrj)
}
gh_users_xml()
if (require("xml2")) {
  xml <- read_xml(gh_users_xml())
  xml
}
gh_repos_xml()
if (require("xml2")) {
  xml <- read_xml(gh_repos_xml())
  xml
}

Geocoded cities from Google Maps

Description

This tibble contains the results of geocoding five cities ("Houston", "Washington", "New York", "Chicago", "Arlington") using the Google Maps API on 2022-06-08. Two cities, Washington and Arlington, were deliberately picked for their ambiguity: Washington could refer to the city or the state, and Arlington could mean the one in Virginia or the one in Texas.

Usage

gmaps_cities

Format

A tibble with 5 rows and two columns. city gives the original search term and json gives the returned JSON converted to a list.

Source

https://developers.google.com/maps/documentation/geocoding

Examples

gmaps_cities

Game of Thrones POV characters

Description

Info on the point-of-view (POV) characters from the first five books in the Song of Ice and Fire series by George R. R. Martin. Retrieved from An API Of Ice And Fire.

Usage

got_chars

Format

A unnamed list with 30 components, each representing a POV character. Each character's component is a named list of length 18, containing information such as name, aliases, and house allegiances.

Source

https://anapioficeandfire.com

See Also

Other Game of Thrones data and functions: got_chars_json()

Examples

str(got_chars, max.level = 1, list.len = 10)
str(got_chars[[1]])
str(lapply(got_chars, `[`, c("name", "culture")))

Paths to Game of Thrones data as JSON and XML

Description

Paths to Game of Thrones data as JSON and XML

Usage

got_chars_json()

got_chars_xml()

Value

Local path to JSON or XML file containing Game of Thrones data

See Also

Other Game of Thrones data and functions: got_chars

Examples

got_chars_json()
if (require("jsonlite")) {
  gotcj <- fromJSON(got_chars_json(), simplifyDataFrame = FALSE)
  identical(got_chars, gotcj)
}
got_chars_xml()
if (require("xml2")) {
  xml <- read_xml(got_chars_xml())
  xml
}

Entities from the Star Wars Universe

Description

Data retrieved from the swapi API on the Star Wars Universe.

Usage

sw_people

sw_films

sw_planets

sw_species

sw_vehicles

sw_starships

Format

Unnamed lists with varying number of components.

Details

  • sw_people List of individual people or characters within the Star Wars universe.

  • sw_starships List of transport crafts with hyperdrive capability.

  • sw_vehicles List of transport crafts without hyperdrive capability.

  • sw_films List of Star Wars films.

  • sw_species List of types of people or characters within the Star Wars Universe.

  • sw_planets List of large masses, planets or planetoids in the Star Wars Universe, at the time of 0 ABY.

Source

Data originally obtained from ⁠http://swapi.co/⁠ using the rwars package: https://github.com/Ironholds/rwars. The Star Wars API appears to have moved to ⁠https://pipedream.com/apps/swapi⁠ since that time.

Examples

# sw_people
str(sw_people, max.level = 1)
str(sw_people[[1]])
sapply(sw_people, `[[`, "name")

# sw_films
str(sw_films, max.level = 1)
str(sw_films[[1]])
sapply(sw_films, `[[`, "title")

Color palettes from Wes Anderson movies

Description

A list of color palettes inspired by Wes Anderson movies, taken from the from wesanderson package.

Usage

wesanderson

Format

A named list with 15 components, each containing a color palette from a specific movie. Each palette consists of 4 or 5 hexadecimal color values.

Source

https://cran.r-project.org/package=wesanderson

http://wesandersonpalettes.tumblr.com

See Also

Other wesanderson data and functions: wesanderson_json()

Examples

str(wesanderson)

Path to wesanderson JSON and XML

Description

Path to wesanderson JSON and XML

Usage

wesanderson_json()

wesanderson_xml()

Value

Local path to JSON or XML file containing Wes Anderson color palettes

See Also

Other wesanderson data and functions: wesanderson

Examples

wesanderson_json()
if (require("jsonlite")) {
  jsonlite::fromJSON(wesanderson_json())
}
wesanderson_xml()
if (require("xml2")) {
  xml2::read_xml(wesanderson_xml())
}