Publications by rOpenSci - open tools for open science
Introducing the rOpenSci Community Contributing Guide
Many people in our community actively contribute to rOpenSci projects. Many others would like to contribute but aren’t sure how to go about it. Wanting to get involved in rOpenSci or “give back to open source” means different things to different people. Ideally, a person should be able to find a way to contribute that meets their needs and ...
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Learn All About HTTP Testing: Book Update
More and more R packages access resources on the web, and play crucial roles in workflows. Examples from the rOpenSci suite of packages include rromeo, GSODR, qualtRics, rnassqs, and many, many others. Like for all other packages, appropriate unit testing can make them more robust. However, unit testing of these packages can bring special challen...
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Behind the magick: updates to imagemagick and beyond
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 g...
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Behind the magick: updates to imagemagick and beyond
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 g...
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How rOpenSci Runs Community Calls
rOpenSci community calls are online events with the fundamental goal of strengthening our community. We have the additional goals of reinforcing our mission and values, informing people on technical and social topics, bringing different stakeholders’ perspectives to light, and identifying unmet needs on a topic. Calls can include one to six spe...
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targets: Democratizing Reproducible Analysis Pipelines
Make1-like pipelines enhance the integrity, transparency, shelf life, efficiency, and scale of large analysis projects. With pipelines, data science feels smoother and more rewarding, and the results are worthy of more trust. …looking to get your project/s organised in the new year? hoping just to distract from feelings of impending doom/crushi...
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targets: Democratizing Reproducible Analysis Pipelines
Make1-like pipelines enhance the integrity, transparency, shelf life, efficiency, and scale of large analysis projects. With pipelines, data science feels smoother and more rewarding, and the results are worthy of more trust. …looking to get your project/s organised in the new year? hoping just to distract from feelings of impending doom/crushi...
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coder Makes Medical Coding less Messy
A new R-package, coder, has been developed, peer-reviewed by rOpenSci, accepted by CRAN, and published in a paper by the Journal of Open Source Software (JOSS). In this blog post, I will explain why this package might be useful for (epidemiological/medical/health care related) research. 🔗 Clinical mess Once upon a time, in countries not far ...
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Make Your R Package Easier to Cite
Scientists rarely cite research software they use as part of a research project. As a consequence, the software and the time spent developing and maintaining it becomes an invisible scholarly contribution. Furthermore, this lack of visibility means that incentives to produce high quality, sustainable software are missing. Among many reasons why s...
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rOpenSci Statistical Software Testing and Peer Review
How to join this free online event with Noam Ross, Mark Padgham, Anna Krystalli, Alex Hayes and John Sakaluk. This is the first in a series of Community Calls we’ll host throughout the year on our statistical software review project. We at rOpenSci are in the process of expanding the scope of our software peer-review system to encompass explici...
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