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rOpenSci - open tools for open science

rOpenSci - open tools for open science
Open Tools and R Packages for Open Science
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Published
Author Jeroen Ooms

It has been a while since we posted an update about magick, but behind the scenes we are constantly tweaking and improving this package, which has become a very mature and complete toolkit for image processing in R. Over the past year, we did 6 CRAN releases, containing many small features and fixes, but perhaps more importantly, the package is getting betting better due to updates of the underlying ImageMagick library.

Published
Author Scott Chamberlain

A new version of vcr was just released. See the release notes for all the details. I want to highlight a few of the more notable changes. New contributor vcr has a new author: Maëlle Salmon. She has been contributing to the package quite a lot lately, including many documentation improvements and big updates to the HTTP Testing in R which covers vcr in addition to some other packages.

Published
Author Jeroen Ooms

At rOpenSci, we encourage R package developers to take advantage of Continuous Integration services to automatically check the package on different platforms, with different versions of R. The rOpenSci dev guide dedicates chapter 2 to the topic of Continuous Integration Best Practices , and recommends a few common CI vendors, including Travis CI. Travis CI has been a pioneer in free public CI services, and made the concept popular in

Published
Author Scott Chamberlain

fulltext is a package I maintain for text-mining the scholarly literature (package docs). You can search for articles, fetch article metadata and abstracts, and fetch full text of some articles. Text-mining the scholarly literature is a research tool used across disciplines. Full text of articles (entire article, not just the abstract) is the gold standard in text-mining in most cases.

Published
Author Jeroen Ooms

Google’s amazing V8 JavaScript/WASM engine is probably one of the most sophisticated open-source software libraries available today. It is used to power the computation in Google Chrome, NodeJS, and also CloudFlare Workers, which make it possible to run code for your website inside the CDN edges. The R package V8 exposes this same engine in R, and has been on CRAN since 2014.

Published
Authors Scott Chamberlain, Maëlle Salmon

In October last year we wrote about the CRAN Checks API (https://cranchecks.info). Since then there have been four new major items introduced: documentation, notifications, search, and a new version of the cchecks R package. First, an introduction to the API for those not familiar.

Published
Author Jeroen Ooms

This week we released a major new version of the rsvg package on CRAN. This package provides R bindings to librsvg2 which is a powerful system library for rendering svg images into bitmaps that can be displayed, or use for further processing in for example the magick package. The biggest change in this release is the R package on Windows and MacOS now includes the latest librsvg 2.48.4. This is a major upgrade;

Published

Thanks to a quite overdue update of Hugo on our build system 1 , our website can now harness the full power of Hugo code highlighting for Markdown-based content.What’s code highlighting apart from the reason behind a tongue-twister in this post title?In this post we shall explain how Hugo’s code highlighter, Chroma, helps you prettify your code (i.e. syntax highlighting ), and accentuate parts of your code (i.e. line

Published
Author Scott Chamberlain

parzer is a new package for handling messy geographic coordinates.The first version is now on CRAN, with binaries coming soon hopefully (seenote about installation below). The package recently completed rOpenScireview. parzer motivation The idea for this package started with a tweet from Noam Ross(https://twitter.com/noamross/status/1070733367522590721) about 15 months ago.

Published
Author Jeroen Ooms

The latest version of the rOpenSci av package includes some useful new tools for working with audio data. We have added functions for reading, cutting, converting, transforming, and plotting audio data in any popular audio / video format (mp3, mkv, aac, etc). The functionality can either be used by itself, or to prepare audio data for further analysis in R using other packages.