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

Found 113 packages in 0.01 seconds

oskeyring — by Gábor Csárdi, 2 years ago

Raw System Credential Store Access from R

Aims to support all features of the system credential store, including non-portable ones. Supports 'Keychain' on 'macOS', and 'Credential Manager' on 'Windows'. See the 'keyring' package if you need a portable 'API'.

cliapp — by Gábor Csárdi, a year ago

Create Rich Command Line Applications

Create rich command line applications, with colors, headings, lists, alerts, progress bars, etc. It uses CSS for custom themes. This package is now superseded by the 'cli' package. Please use 'cli' instead in new projects.

cleancall — by Gábor Csárdi, 3 years ago

C Resource Cleanup via Exit Handlers

Wrapper of .Call() that runs exit handlers to clean up C resources. Helps managing C (non-R) resources while using the R API.

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) .

presser — by Gábor Csárdi, 5 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.

keypress — by Gábor Csárdi, 2 years ago

Wait for a Key Press in a Terminal

Wait for a single key press at the 'R' prompt. This works in terminals, but does not currently work in the 'Windows' 'GUI', the 'OS X' 'GUI' ('R.app'), in 'Emacs' 'ESS', in an 'Emacs' shell buffer or in 'R Studio'. In these cases 'keypress' stops with an error message.

webdriver — by Gábor Csárdi, 4 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'.

franc — by Gábor Csárdi, 4 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>.

leidenbase — by Brent Ewing, 3 months ago

R and C/C++ Wrappers to Run the Leiden find_partition() Function

An R to C/C++ interface that runs the Leiden community detection algorithm to find a basic partition (). It runs the equivalent of the 'leidenalg' find_partition() function, which is given in the 'leidenalg' distribution file 'leiden/src/functions.py'. This package includes the required source code files from the official 'leidenalg' distribution and functions from the R 'igraph' package. The 'leidenalg' distribution is available from < https://github.com/vtraag/leidenalg/> and the R 'igraph' package is available from < https://igraph.org/r/>. The Leiden algorithm is described in the article by Traag et al. (2019) . Leidenbase includes code from the packages: igraph version 0.9.8 with license GPL (>= 2), leidenalg version 0.8.10 with license GPL 3.

sand — by Eric Kolaczyk, 5 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'.