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Announcing new software review editors: Anna Krystalli and Lincoln Mullen

Part of rOpenSci’s mission is to create technical infrastructure in the form of carefully vetted R software tools that lower barriers to working with data sources on the web. Our open peer software review system for community-contributed tools is a key component of this. As the rOpenSci community grows and more package authors submit their work for peer review, we need to expand our editorial board to maintain a speedy process....

Chat with the rOpenSci team at upcoming meetings

You can find members of the rOpenSci team at various meetings and workshops around the world. Come say ‘hi’, learn about how our software packages can enable your research, or about our process for open peer software review and onboarding, how you can get connected with the community or tell us how we can help you do open and reproducible research.

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Exploring European attitudes and behaviours using the European Social Survey

Introduction I never thought that I’d be programming software in my career. I started using R a little over 2 years now and it’s been one of the most important decisions in my career. Secluded in a small academic office with no one to discuss/interact about my new hobby, I started searching the web for tutorials and packages. After getting to know how amazing and nurturing the R community is, it made me want to become a data scientist....

Unconf18 projects 4: umapr, greta, roomba, proxy-bias-vignette, http caching

For the fourth and last day of project recaps from this year’s unconf, here is an overview of the next five projects. (Full set of project recaps: recap 1, recap 2, recap 3, recap 4.) In the spirit of exploration and experimentation at rOpenSci unconferences, these projects are not necessarily finished products or in scope for rOpenSci packages.   umapr Summary: umapr wraps the Python implementation of UMAP to make the algorithm accessible from within R, leveraging reticulate to interface with Python....

.rprofile: Julia Silge

Dr. Julia Silge [@juliasilge on Twitter] is a data scientist at Stack Overflow. We talked about why R brings Julia joy, her path to a career in data science and what it was like to co-write a book for O’Reilly Media. This interview occurred on February 3, 2018 at the RStudio Conference in San Diego. KO: What is your name, job title, and how long have you been using R?...

Working together to push science forward

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