Author: rOpenSci - open tools for open science

Feed: R-bloggers. Author: rOpenSci - open tools for open science. The free online book Open Forensic Science in R was created to foster open science practices in the forensic science community. It is comprised of eight chapters: an introduction and seven chapters covering different areas of forensic science: the validation of DNA interpretation systems, firearms analysis of bullets and casings, latent fingerprints, shoe outsole impressions, trace glass evidence, and decision-making in forensic identification tasks. The chapters of Open Forensic Science in R have the same five sections: Introduction, Data, R Package(s), Drawing Conclusions, and Case Study. There is R code ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. Introduction The availability of large quantities of freely available data is revolutionizing the world of ecological research. Open data maximizes the opportunities to perform comparative analyses and meta-analyses. Such synthesis efforts will increasingly exploit “population data”, which we define here as time series of population abundance. Such population data plays a central role in testing ecological theory and guiding management decisions. One of the richest sources of open access population data is the USA Long Term Ecological Research (LTER) Network. However, LTER data presents the drawback common to all ecological ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. Are you passionate about statistical methods and software? If so we would love for you to join our team to dig deep into the world of statistical software packages. You’ll develop standards for evaluating and reviewing statistical tools, publish, and work closely with an international team of experts to set up a new software review system. We are seeking a creative, dedicated, and collaborative software research scientist to support a two-year project in launching a new software peer-review initiative. The software research scientist will work on the Sloan Foundation supported ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. The grainchanger package provides functionality for data aggregation to a coarser resolution via moving-window or direct methods. Why do we need new methods for data aggregation? As landscape ecologists and macroecologists, we often need to aggregate data in order to harmonise datasets. In doing so, we often lose a lot of information about the spatial structure and environmental heterogeneity of data measured at finer resolution. The issues around scale disconnects are both conceptual and practical: Conceptual issues Technical issues The scale we measure this stuff at varies too Ecological response ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. We’re delighted to announce that we have received new funding from the Alfred P. Sloan Foundation. The $678K grant, awarded through the Foundation’s Data & Computational Research program, will be used to expand our efforts in software peer review. Software peer review has become a core part of rOpenSci, helping improve scientific software quality, drive best engineering practices into scientific communities, and building community and collaboration through open, constructive reviews. We’re excited to expand our work in this important area. Here’s what we’ll be doing in the next two years ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. Three members of the rOpenSci team – Scott Chamberlain, Jenny Bryan, and Rich FitzJohn – as well as many community members will give talks at useR!2019. Many other package authors, maintainers, reviewers and unconf participants will be there too. Don’t hesitate to ask them about rOpenSci packages, software peer review, community, or just say hello if you’re looking for a friendly face. We’ve listed their talks for you. Search the schedule for details. Wednesday, July 10 Julia Stewart Lowndes Keynote! R for better science in less time Thierry Onkelinx git2rdata: ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. Software is maintained by people. While software can in theory live on indefinitely, to do so requires people. People change jobs, move locations, retire, and unfortunately die sometimes. When a software maintainer can no longer maintain a package, what happens to the software? Because of the fragility of people in software, in an ideal world a piece of software should have as many maintainers as possible. Increasing maintainers increases the so-called bus factor. A lower number of maintainers means fewer people have to get hit by a bus to then ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. As part of our continuous effort to improve rOpenSci infrastructure, we are rolling out a new service to automatically build and host documentation for all rOpenSci packages. The webpages are generated using the popular pkgdown system with our rOpenSci template, and get automatically published on https://docs.ropensci.org/. Some examples: As we are still rolling this out, not all packages are there yet, but the majority is online now. We hope this becomes the central place to find documentation for rOpenSci packages. Zero setup required What do you need to do as ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. Introduction ramlegacy is a new R package to download, cache and read in all the different versions of the RAM Legacy Stock Assessment Database, a public database containing stock assessment results of commercially exploited marine populations from around the world. The package accomplishes all this by: Providing a function download_ramlegacy(), to download all the available versions of the RAM Database and cache them on the user’s computer in a location provided by the rappdirs package. This way once a version has been downloaded it doesn’t need to be re-downloaded for ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. We strive for high quality in our suite of packages, in practice via a system of software peer review, and via packaging guidelines that keep growing. There is therefore a risk of increasing the workload of package authors, who already have a lot on their plate. To avoid that, when explaining how to do things in our dev guide, we recommend existing automated tools to authors. The usethis package implements this important principle: Automate that which can be automated. Your computer was literally born to implement rote-but-fussy stuff for you ... Read More