Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

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sankey — by Gábor Csárdi, 9 years ago

Illustrate the Flow of Information or Material

Plots that illustrate the flow of information or material.

leidenAlg — by Evan Biederstedt, 2 months ago

Implements the Leiden Algorithm via an R Interface

An R interface to the Leiden algorithm, an iterative community detection algorithm on networks. The algorithm is designed to converge to a partition in which all subsets of all communities are locally optimally assigned, yielding communities guaranteed to be connected. The implementation proves to be fast, scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The original implementation was constructed as a python interface "leidenalg" found here: < https://github.com/vtraag/leidenalg>. The algorithm was originally described in Traag, V.A., Waltman, L. & van Eck, N.J. "From Louvain to Leiden: guaranteeing well-connected communities". Sci Rep 9, 5233 (2019) .

webdriver — by Gábor Csárdi, 6 years ago

'WebDriver' Client for 'PhantomJS'

A client for the 'WebDriver' 'API'. It allows driving a (probably headless) web browser, and can be used to test web applications, including 'Shiny' apps. In theory it works with any 'WebDriver' implementation, but it was only tested with 'PhantomJS'.

presser — by Gábor Csárdi, 6 years ago

Lightweight Web Server for Testing

Create a web app that makes it easier to test web clients without using the internet. It includes a web app framework with path matching and parameters and templates. Can parse various 'HTTP' request bodies. Can send 'JSON' data or files from the disk. Includes a web app that implements the < https://httpbin.org> web service.

stinepack — by Tomas Johannesson, 2 years ago

Stineman, a Consistently Well Behaved Method of Interpolation

A consistently well behaved method of interpolation based on piecewise rational functions using Stineman's algorithm.

shinytoastr — by Gábor Csárdi, 3 years ago

Notifications from 'Shiny'

Browser notifications in 'Shiny' apps, using 'toastr': < https://github.com/CodeSeven/toastr#readme>.

sand — by Eric Kolaczyk, 6 years ago

Statistical Analysis of Network Data with R, 2nd Edition

Data sets and code blocks for the book 'Statistical Analysis of Network Data with R, 2nd Edition'.

franc — by Gábor Csárdi, 5 years ago

Detect the Language of Text

With no external dependencies and support for 335 languages; all languages spoken by more than one million speakers. 'Franc' is a port of the 'JavaScript' project of the same name, see < https://github.com/wooorm/franc>.

roxut — by Bryan A. Hanson, 5 years ago

Document Unit Tests Roxygen-Style

Much as 'roxygen2' allows one to document functions in the same file as the function itself, 'roxut' allows one to write the unit tests in the same file as the function. Once processed, the unit tests are moved to the appropriate directory. Currently supports 'testthat' and 'tinytest' frameworks. The 'roxygen2' package provides much of the infrastructure.

DescTools — by Andri Signorell, a year ago

Tools for Descriptive Statistics

A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'BigCamelCase' style was consequently applied to functions borrowed from contributed R packages as well.