Publications by rOpenSci - open tools for open science

rOpenSci Champions Program Teams: Meet Marcos Prunello and Lukas Wallrich

17.04.2023

We designed the rOpenSci Champions Program with a mentorship aspect. Mentoring plays a significant role in the growth and development of both mentors and mentees alike. In our program, each Champion has a mentor who accompanies them during their training and development of their project. In this series of blog posts, we introduce you to the ten tea...

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rOpenSci Champions Program Teams: Meet Pao Corrales and Adam Sparks

12.04.2023

We designed the rOpenSci Champions Program with a mentorship aspect. Mentoring plays a significant role in the growth and development of both mentors and mentees alike. In our program, each Champion has a mentor who accompanies them during their training and development of their project. In this series of blog posts, we introduce you to the ten tea...

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waywiser is Now a Part of rOpenSci

03.04.2023

I’m thrilled to share that waywiser, my R package focused on providing framework-agnostic (but tidymodels-friendly) methods for assessing models fit to spatial data1, has passed peer review and been accepted to rOpenSci. As always, the review process improved the package immensely, thanks to the thoughtful reviews of Virgilio Gómez-Rubio and Jak...

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How r-universe searches for packages on CRAN / Bioconductor

02.04.2023

How packages appear in r-universe Last month we explained how r-universe makes it easy to search and browse through the countless R packages, articles, and datasets to let you discover and learn new things. We are continuously growing this database by adding more R projects, to guide you through everything the R ecosystem has to offer. Currently r-...

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Meeting the Stars of the R-Universe: Researching Our Brain with the Magic of the R-Universe

29.03.2023

A new post of our interview series “Meeting the stars of the R-universe”. We aim to introduce the teams and people behind the development of software and packages many of us use and which are available through the R-Universe. We want to highlight and explore different teams and projects around the world, the work they do, their processes and us...

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rOpenSci News Digest, March 2023

16.03.2023

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci! rOpenSci HQ Meeting the stars of the R-universe: Sébastien Rochette Knowing our community’s stories helps us to learn about the people behind our software, brings us closer and offers u...

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Enseigner, aider et partager. L’approche de ThinkR pour contribuer à la croissance d’une communauté R conviviale

27.02.2023

Ceci est le deuxième article de notre série d’entretiens “Rencontre les stars de l’univers R”. Notre objectif est de présenter les groupes de travail et les personnes qui se cachent derrière le développement des logiciels et des paquets que nous utilisons et qui sont disponibles dans le R-univers. Nous voulons mettre en avant et explor...

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Meeting the Stars of the R-universe: ThinkR’s Approach to Contributing to a Growing and Friendly R Community

27.02.2023

This is the second post of our interview series “Meeting the stars of the R-universe”. We aim to introduce the working groups and people behind the development of software and packages many of us use and which are available through the R-universe. We want to highlight and explore different teams and projects around the world, the work they do, ...

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Discovering and learning everything there is to know about R packages using r-universe

26.02.2023

Finding the right tool for the job The hardest part about effectively using R is finding the best packages for the problem you are trying to solve. I think this is even more important than being fluent in the language itself, which you will pick up along the way as you start using R more frequently. However, building your code on reliable foundatio...

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Descubrir y aprender todo lo que hay que saber sobre los paquetes de R utilizando r-universe

26.02.2023

Encontrar la herramienta adecuada para el trabajo Lo más difícil de usar R con eficacia es encontrar los mejores paquetes para el problema que intentas resolver. Creo que esto es incluso, más importante que dominar el lenguaje en sí. Cosa que irás adquiriendo a medida que empieces a utilizar R con más frecuencia. Sin embargo, construir tu có...

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