rOpenSci Software Peer Review and Statistical Software Peer Review rely on the volunteer work of reviewers, and editors.Editors manage the day-to-day flow of submissions, recruit reviewers and guide the peer-review process from start to finish.

rOpenSci Software Peer Review’s guidance is gathered in an online book and keeps improving!To find out what’s new in our dev guide 0.7.0, you can read the changelog,or this blog post for more digested information.@ropensci-review-bot help: less TODOs, more simple commands!

We are excited to welcome Emily Riederer, Adam Sparks, and Jeff Hollister to our team of Associate Editors for rOpenSci Software Peer Review.They join Laura DeCicco, Julia Gustavsen, Anna Krystalli, Mauro Lepore, Karthik Ram, Noam Ross, Maëlle Salmon, and Melina Vidoni.

A week ago we held a Community Call discussing rOpenSci Statistical Software Testing and Peer Review.This call included speakers Noam Ross, Mark Padgham, Anna Krystalli, Alex Hayes, and John Sakaluk.

rOpenSci Software Peer Review’s guidance is gathered in an online book and keeps improving!To find out what’s new in our dev guide 0.6.0, you can read the changelog,or this blog post for more digested information.On our way to Spanish!

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 from ours, there were MDs and nurses making up funny names for any diseases they encountered.

Make ¹ -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. targets install.packages("targets") The targets ² package is a new pipeline toolkit for R.It recently cleared software review, and it is now on CRAN.

In this post I will explain the history behind BaseSet then a brief introduction to sets, followed by showing what you can do with BaseSet.Brief BaseSet history I study diseases to try to find what causes them at a research institute associated with an hospital.Thanks to recent technological advances we can analyze many things from a single patient’s sample.Having so much information available can be overwhelming, making it difficult to find

Science craft As a field linguist, I have spent a lot of time working in villages in the Caucasus, collecting audio from speakers of indigenous languages. The processing of such data involves a lot of time-consuming tasks, so during my field trips I created my own pipeline for data collection.

With this blog post, I show how to use the mcbette R packagein an informal way.A more formal introduction on mcbettecan be found in the Journal of Open Source Science ¹ .After introducing a concrete problem, I will show how mcbettecan be used to solve it. After discussing mcbette, I will conclude withwhy I think rOpenSci is important and how enjoyablemy experiences have been so far.The problem Imagine you are a field biologist.