
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.
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.
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.
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 data 1 , has passed peer review and been accepted to rOpenSci.
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-universe is tracking and indexing of over 18.000 R packages.
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 users.
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 us new opportunities.
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, their processes and users.
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 foundations is essential for good results, and difficult to fix later on in a project.
The Champions Program got off to a great start in 2023! We’re happy to report on the first couple of months in our first run of the rOpenSci Champions Program. In September 2022, we launched the program, advertising for both mentors and mentees to apply. We received a total of 102 applications from 31 different countries. Seventy-four applications were for champions and twenty eight for mentors.
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 R-universe improvements!
Part of what we aim to do at rOpenSci is nurture a community of package maintainers who help each other.In addition to support during package maintenance, we also want to support maintainers who wish to move on. Situations can change, and there may come a time when a maintainer is looking to pass maintenance on to another.