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rOpenSci - open tools for open science

rOpenSci - open tools for open science
Open Tools and R Packages for Open Science
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Authors Maëlle Salmon, Laura DeCicco, Julia Gustavsen, Jeff Hollister, Anna Krystalli, Mauro Lepore, Karthik Ram, Emily Riederer, Noam Ross, Adam Sparks, Melina Vidoni

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!

Published

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.

Published
Authors Noam Ross, Mark Padgham, Anna Krystalli, Alex Hayes, John Sakaluk, Steffi LaZerte

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.

Published
Authors Maëlle Salmon, Brooke Anderson, Laura DeCicco, Julia Gustavsen, Anna Krystalli, Mauro Lepore, Karthik Ram, Noam Ross, Melina Vidoni

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!

Published

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.

Published

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.

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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.

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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.

Published

We are pleased to welcome Laura DeCicco, Julia Gustavsen, and Mauro Lepore to our team of Associate Editors for rOpenSci Software Peer Review.They join Brooke Anderson, Anna Krystalli, Karthik Ram, Noam Ross, Maëlle Salmon, and Melina Vidoni.Lincoln Mullen and Scott Chamberlain are now board alumni.