Posts with the "packages" tag
The Antarctic/Southern Ocean rOpenSci community
November 13, 2018
Antarctic/Southern Ocean science and rOpenSci Collaboration and reproducibility are fundamental to Antarctic and Southern Ocean science, and the value of data to Antarctic science has long been promoted. The Antarctic Treaty (which came into force in 1961) included the provision that scientific observations and results from Antarctica should be openly shared. The high cost and difficulty of acquisition means that data tend to be re-used for different studies once collected.
Tesseract 4 is here! State of the art OCR in R!
November 6, 2018
Last week Google and friends released the new major version of their OCR system: Tesseract 4. This release builds upon 2+ years of hard work and has completely overhauled the internal OCR engine. From the tesseract wiki:
Tesseract 4.0 includes a new neural network-based recognition engine that delivers significantly higher accuracy (on document images) than the previous versions, in return for a significant increase in required compute power. On complex languages however, it may actually be faster than base Tesseract.
Parsing Metadata with R - A Package Story
October 9, 2018
Every R package has its story. Some packages are written by experts, some by novices. Some are developed quickly, others were long in the making. This is the story of jstor, a package which I developed during my time as a student of sociology, working in a research project on the scientific elite within sociology. Writing the package has taught me many things (more on that later) and it is deeply gratifying to see, that others find the package useful.
The av Package: Production Quality Video in R
October 6, 2018
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.
outcomerate: Transparent Communication of Quality in Social Surveys
October 2, 2018
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.