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'.

Unicode Symbols at the R Prompt

A small subset of Unicode symbols, that are useful when building command line applications. They fall back to alternatives on terminals that do not support Unicode. Many symbols were taken from the 'figures' 'npm' package (see < https://github.com/sindresorhus/figures>).

Powerful and Reliable Tools for Running System Commands in R

Drop-in replacements for the base system2() function with fine control and consistent behavior across platforms. Supports clean interruption, timeout, background tasks, and streaming STDIN / STDOUT / STDERR over binary or text connections. Arguments on Windows automatically get encoded and quoted to work on different locales.

Load Environment Variables from '.env'

Load configuration from a '.env' file, that is in the current working directory, into environment variables.

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++.

Masked User Input

A micro-package for reading "passwords", i.e. reading user input with masking, so that the input is not displayed as it is typed. Currently we have support for 'RStudio', the command line (every OS), and any platform where 'tcltk' is present.

Tidy Output from Regular Expression Matching

Wrappers on 'regexpr' and 'gregexpr' to return the match results in tidy data frames.

Chronological Objects which Can Handle Dates and Times

Provides chronological objects which can handle dates and times.

Test Shiny Apps

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

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.