Updates for version 2.4 of rOpenSci’s Code of Conduct

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• community

rOpenSci 2022 Code of Conduct Transparency Report

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• code of conduct
• governance

Community call recording, one-page HTML package docs, R-universe stars interview, coworking

• newsletter

A short exploration of how to save ggplot2 objects in targets workflow

• targets
• ggplot2
• workflow
• tech notes
• community

rOpenSci is very excited to announce our first peer-reviewed statistical R packages!

One of rOpenSci’s core programs is software peer-review, where we use best practices from software engineering and academic peer-review to improve scientific software. Through this, we aim to make scientific software more robust, usable, and trustworthy, and build a supportive community of practitioners.

Historically, we have focused on R packages that manage the research data life cycle. Now, thanks to work over the past two years supported by the Sloan Foundation we also facilitate peer-review of packages that implement statistical algorithms. The first statistical packages to pass peer review are:

• community
• Software Peer Review
• editor
• statistics