Cyclomatic Complexity of R Code

Cyclomatic complexity is a software metric (measurement), used to indicate the complexity of a program. It is a quantitative measure of the number of linearly independent paths through a program's source code. It was developed by Thomas J. McCabe, Sr. in 1976.

In-Line Documentation for R

Generate your Rd documentation, 'NAMESPACE' file, and collation field using specially formatted comments. Writing documentation in-line with code makes it easier to keep your documentation up-to-date as your requirements change. 'roxygen2' is inspired by the 'Doxygen' system for C++.

Testing for Shiny Applications

Automated unit testing of Shiny applications through a headless 'Chromium' browser.

A Collection of Network Data Sets for the 'igraph' Package

A small collection of various network data sets, to use with the 'igraph' package: the Enron email network, various food webs, interactions in the immunoglobulin protein, the karate club network, Koenigsberg's bridges, visuotactile brain areas of the macaque monkey, UK faculty friendship network, domestic US flights network, etc.

Download Logs from the 'RStudio' 'CRAN' Mirror

'API' to the database of 'CRAN' package downloads from the 'RStudio' 'CRAN mirror'. The database itself is at < http://cranlogs.r-pkg.org>, see < https://github.com/r-hub/cranlogs.app> for the raw 'API'.

Private Configuration for 'R' Packages

Set configuration options on a per-package basis. Options set by a given package only apply to that package, other packages are unaffected.

Debug R Packages

Specify debug messages as special string constants, and control debugging of packages via environment variables.

Pretty Print R Code in the Terminal

Replace the standard print method for functions with one that performs syntax highlighting, using ANSI colors, if the terminal supports them.

Network Analysis and Visualization

Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.

Test Shiny Apps

Please see the 'shinytest' to 'shinytest2' migration guide at < https://rstudio.github.io/shinytest2/articles/z-migration.html>.