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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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VitaeCVResumeR MarkdownKnitrComputer and Information Sciences
Published
Author Mitchell O'Hara-Wild

Why vitae? The vitae package leverages the dynamic nature of R Markdown to quickly produce and update CV entries from a variety of data sources. With use of the included templates, examples and helper functions, it should be possible to produce a reasonable looking and data-driven CV in less than an hour.

HugoTech NotesComputer and Information Sciences
Published
Author Maëlle Salmon

A bit more than one year ago, rOpenSci launched its new website design, by the designer Maru Lango. Not only did the website appearance change (for the better!), but the underlying framework too. ropensci.org is powered by Hugo, like blogdown!

UnconfOzunconfOzunconf18CommunitySoftwareComputer and Information Sciences
Published
Author Nicholas Tierney

In late November 2018, we ran the third annual rOpenSci ozunconf. This is the sibling rOpenSci unconference, held in Australia. We ran the first ozunconf in Brisbane in 2016, and the second in Melbourne in 2017. Photos taken by Ajay from Fotoholics As usual, before the unconf, we started discussion on GitHub issue threads,and the excitement was building with the number of issues.

PackagesData AccessAPI ClientCitesSoftware Peer ReviewComputer and Information Sciences
Published
Authors Ignasi Bartomeus, Kevin Cazelles, Jonas Geschke

The Ecology Hackathon Almost one year ago now, ecologists filled a room for the “Ecology Hackathon: Developing R Packages for Accessing, Synthesizing and Analyzing Ecological Data” that was co-organised by rOpenSci Fellow, Nick Golding and Methods in Ecology and Evolution. This hackathon was part of the “Ecology Across Borders” Joint Annual Meeting 2017 of BES, GfÖ, NecoV, and EEF in Ghent.

PDFTextEncodingTablesImagesComputer and Information Sciences
Published
Author Jeroen Ooms

A new version of pdftools has been released to CRAN. Go get it while it’s hot:install.packages("pdftools") This version has two major improvements: low level text extraction and encoding improvements.About PDF textboxes A pdf document may seem to contain paragraphs or tables in a viewer, but this is not actually true.

Software Peer ReviewCommunitySoftwarePackagesTreestartrComputer and Information Sciences
Published
Author April Wright

I never really thought I would write an R package. I use R pretty casually. Then, this year, I was invited to participate during the last week of the Analytical Paleobiology short course, an intensive month-long experience in quantitative paleontology. I was thrilled to be invited.

CommunityEventsCommunity CallGovernanceSustainabilityComputer and Information Sciences
Published
Authors Dan Sholler, Stefanie Butland

🎤 Dan Sholler, rOpenSci Postdoctoral Fellow 🕘 Tuesday, December 18, 2018, 10-11AM PST; 7-8PM CET (find your timezone) ☎️ Details for joining the Community Call. Everyone is welcome. No RSVP needed. Researchers use open source software for the capabilities it provides, such as streamlined data access and analysis and interoperability with other pieces of the scientific computing ecosystem.

CommunityData MungingGeospatialPackagesSoftwareComputer and Information Sciences
Published
Authors Alec Robitaille, Quinn Webber, Eric Vander Wal

spatsoc is an R package written by Alec Robitaille, Quinn Webber and Eric Vander Wal of the Wildlife Evolutionary Ecology Lab (WEEL) at Memorial University of Newfoundland. It is the lab’s first R package and was recently accepted through the rOpenSci onboarding process with a big thanks to reviewers Priscilla Minotti and Filipe Teixeira, and editor Lincoln Mullen.

CommunitySoftwareSoftware Peer ReviewPackagesBioinformaticsComputer and Information Sciences
Published
Author Dom Bennett

What is restez? R packages for interacting with the National Center for Biotechnology Information (NCBI) have, to-date, depended on API query calls via NCBI’s Entrez.For computational analyses that require the automated look-up of reams of biological sequence data, piecemeal querying via bandwith-limited requests is evidently not ideal.