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

Found 72 packages in 0.01 seconds

rgdal — by Roger Bivand, 4 months ago

Bindings for the 'Geospatial' Data Abstraction Library

Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ.4' library. The 'GDAL' and 'PROJ.4' libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both 'GDAL' raster and 'OGR' vector map data can be imported into R, and 'GDAL' raster data and 'OGR' vector data exported. Use is made of classes defined in the 'sp' package. Windows and Mac Intel OS X binaries (including 'GDAL', 'PROJ.4' and 'Expat') are provided on 'CRAN'.

sys — by Jeroen Ooms, 3 months ago

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. On Unix platforms the package also provides functions for evaluating expressions inside a temporary fork. Such evaluations have no side effects on the main R process, and support reliable interrupts and timeouts. This provides the basis for a sandboxing mechanism.

covr — by Jim Hester, 4 months ago

Test Coverage for Packages

Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' < http://codecov.io> or 'Coveralls' < http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.

hunspell — by Jeroen Ooms, 2 months ago

High-Performance Stemmer, Tokenizer, and Spell Checker

Low level spell checker and morphological analyzer based on the famous 'hunspell' library < https://hunspell.github.io>. The package can analyze or check individual words as well as parse text, latex, html or xml documents. For a more user-friendly interface use the 'spelling' package which builds on this package to automate checking of files, documentation and vignettes in all common formats.

commonmark — by Jeroen Ooms, 3 months ago

High Performance CommonMark and Github Markdown Rendering in R

The CommonMark specification defines a rationalized version of markdown syntax. This package uses the 'cmark' reference implementation for converting markdown text into various formats including html, latex and groff man. In addition it exposes the markdown parse tree in xml format. Also includes opt-in support for GFM extensions including tables, autolinks, and strikethrough text.

sodium — by Jeroen Ooms, 2 years ago

A Modern and Easy-to-Use Crypto Library

Bindings to 'libsodium': a modern, easy-to-use software library for encryption, decryption, signatures, password hashing and more. Sodium uses curve25519, a state-of-the-art Diffie-Hellman function by Daniel Bernstein, which has become very popular after it was discovered that the NSA had backdoored Dual EC DRBG.

webutils — by Jeroen Ooms, 2 years ago

Utility Functions for Developing Web Applications

High performance in-memory http request parser for application/json, multipart/form-data, and application/x-www-form-urlencoded. Includes live demo of hosting and parsing multipart forms with either 'httpuv' or 'Rhttpd'.

writexl — by Jeroen Ooms, 3 months ago

Export Data Frames to Excel 'xlsx' Format

Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter'. Fast and no Java or Excel required.

sf — by Edzer Pebesma, 2 months ago

Simple Features for R

Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations.

mongolite — by Jeroen Ooms, 6 months ago

Fast and Simple 'MongoDB' Client for R

High-performance MongoDB client based on 'mongo-c-driver' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication, and GridFS. The online user manual provides an overview of the available methods in the package: < https://jeroen.github.io/mongolite/>.