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Proper identification of individuals is crucial for acknowledging and studying their scientific work, be it journal articles or pieces of software. In this tech note, one year after CRAN started supporting ORCIDs, we shall explain why and how to use unique author identifiers in DESCRIPTION files. 🔗 Why use ORCIDs on CRAN? When analyzing the authorship of CRAN packages, one can look at authors’ names and email addresses. Names can be written with and without quotes, email addresses change, which makes it all tricky as noted by David Smith when he looked for the most prolific CRAN authors (notice our very own Scott Chamberlain and Jeroen Ooms in that scoreboard by the way?...
At rOpenSci we are developing on a suite of packages that expose powerful graphics and imaging libraries in R. Our latest addition is av – a new package for working with audio/video based on the FFmpeg AV libraries. This ambitious new project will become the video counterpart of the magick package which we use for working with images. install.packages("av") av::av_demo() The package can be installed directly from CRAN and includes a test function av_demo() which generates a demo video from random histograms....
Do you have code that accompanies a research project or manuscript? How do you review and archive that code before you submit a paper? Our next Community Call will present different perspectives on this hot topic, with plenty of time for Q&A. What’s the culture of the group around feedback and code collaboration? What are the use cases? What are some practices that can adopted? 🕘 Tuesday, October 16th, 9-10 AM PDT (find your timezone)...
🔗 Background Surveys are ubiquitous in the social sciences, and the best of them are meticulously planned out. Statisticians often decide on a sample size based on a theoretical design, and then proceed to inflate this number to account for “sample losses”. This ensures that the desired sample size is achieved, even in the presence of non-response. Factors that reduce the pool of interviews include participant refusals, inability to contact respondents, deaths, and frame inaccuracies....
Remember our recent post showing that one can wrangle Markdown files programmatically without regex? That tech note showed how to convert Markdown bodies to XML in order to extract information from them. Now, this post goes one step further and presents tinkr, a package for converting .md and .Rmd files to XML, editing them, and… writing them back as Markdown! 🔗 General tinkr workflow The goal of tinkr is to convert Markdown files to XML and back to allow their editing with xml2 (XPath!...
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