Showing 10 of total 10 results (show query)
jakubnowicki
fixtuRes:Mock Data Generator
Generate mock data in R using YAML configuration.
Maintained by Jakub Nowicki. Last updated 3 years ago.
fixturesmock-datamock-data-generatortest-data-generatoryaml-configuration
60.0 match 16 stars 4.98 score 12 scriptsr-lib
testthat:Unit Testing for R
Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Maintained by Hadley Wickham. Last updated 16 days ago.
5.3 match 900 stars 20.97 score 74k scripts 465 dependentsjimmyday12
fitzRoy:Easily Scrape and Process AFL Data
An easy package for scraping and processing Australia Rules Football (AFL) data. 'fitzRoy' provides a range of functions for accessing publicly available data from 'AFL Tables' <https://afltables.com/afl/afl_index.html>, 'Footy Wire' <https://www.footywire.com> and 'The Squiggle' <https://squiggle.com.au>. Further functions allow for easy processing, cleaning and transformation of this data into formats that can be used for analysis.
Maintained by James Day. Last updated 2 months ago.
5.8 match 134 stars 10.74 score 324 scriptsjoelgombin
concaveman:A Very Fast 2D Concave Hull Algorithm
The concaveman function ports the 'concaveman' (<https://github.com/mapbox/concaveman>) library from 'mapbox'. It computes the concave polygon(s) for one or several set of points.
Maintained by Joël Gombin. Last updated 3 years ago.
4.5 match 66 stars 9.06 score 492 scripts 22 dependentsropensci
dittodb:A Test Environment for Database Requests
Testing and documenting code that communicates with remote databases can be painful. Although the interaction with R is usually relatively simple (e.g. data(frames) passed to and from a database), because they rely on a separate service and the data there, testing them can be difficult to set up, unsustainable in a continuous integration environment, or impossible without replicating an entire production cluster. This package addresses that by allowing you to make recordings from your database interactions and then play them back while testing (or in other contexts) all without needing to spin up or have access to the database your code would typically connect to.
Maintained by Jonathan Keane. Last updated 11 months ago.
2.8 match 82 stars 8.04 score 49 scriptsnealrichardson
httptest:A Test Environment for HTTP Requests
Testing and documenting code that communicates with remote servers can be painful. Dealing with authentication, server state, and other complications can make testing seem too costly to bother with. But it doesn't need to be that hard. This package enables one to test all of the logic on the R sides of the API in your package without requiring access to the remote service. Importantly, it provides three contexts that mock the network connection in different ways, as well as testing functions to assert that HTTP requests were---or were not---made. It also allows one to safely record real API responses to use as test fixtures. The ability to save responses and load them offline also enables one to write vignettes and other dynamic documents that can be distributed without access to a live server.
Maintained by Neal Richardson. Last updated 1 years ago.
2.3 match 82 stars 9.47 score 276 scripts 1 dependentsnealrichardson
httptest2:Test Helpers for 'httr2'
Testing and documenting code that communicates with remote servers can be painful. This package helps with writing tests for packages that use 'httr2'. It enables testing all of the logic on the R sides of the API without requiring access to the remote service, and it also allows recording real API responses to use as test fixtures. The ability to save responses and load them offline also enables writing vignettes and other dynamic documents that can be distributed without access to a live server.
Maintained by Neal Richardson. Last updated 8 months ago.
2.3 match 33 stars 9.37 score 95 scripts 1 dependentscrunch-io
crunch:Crunch.io Data Tools
The Crunch.io service <https://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Maintained by Greg Freedman Ellis. Last updated 10 days ago.
1.9 match 9 stars 10.53 score 200 scripts 2 dependentscran
wikibooks:Functions and Datasets of the German WikiBook "GNU R"
The german Wikibook "GNU R" introduces R to new users. This package is a collection of functions and datas used in the german WikiBook "GNU R".
Maintained by Joerg grosse Schlarmann (aka Produnis). Last updated 3 years ago.
5.2 match 1.70 scorecran
SportsTour:Display Tournament Fixtures using Knock Out and Round Robin Techniques
Use of Knock Out and Round Robin Techniques in preparing tournament fixtures as discussed in the Book Health and Physical Education by 'Dr. V K Sharma'(2018,ISBN:978-93-5272-134-4).
Maintained by Ankit Tanwar. Last updated 4 years ago.
8.3 match 1.00 score