R is a language and environment for statistical computing.There are several tools and approaches for interacting with R, but not all are accessible with screen readers.This guide provides an overview of the tools and techniques available to screen reader users across different operating systems, with practical tips and resources to help them navigate the R environment.This guide may not be complete, but I hope it serves as a valuable starting

On June 14 I was invited to present at the CZI Open Science 2024 event. I was asked to participate in “Case Study Session 3: Demonstrating Impact of Open Science” and to explore the challenges of using traditional academic metrics for measuring project impact with an emphasis on alternative approaches. I was very excited to share our experiences and to learn from others projects.

The goal of the rOpenSci Champions Program is to enable more members of historically excluded groups to participate in, benefit from, and become leaders in the R, research software engineering, and open source and open science communities. This program includes 1-on-1 mentoring for the Champions as they complete a project and perform outreach activities in their local communities.

Our first cohort of the rOpenSci Champions Program has now completed the second phase of the program by developing their project and carrying out outreach activities.

rOpenSci’s second cohort of Champions has been onboarded!Their training first started with a session on code style, was followed by three sessions on the basics of R package development, and ended with a session on advanced R package development, which consisted of a potpourri of tips with discussion, followed by time for applying these principles to the participants’ packages.Here, I want to share one of the topics covered: Package testing, and

rOpenSci’s second cohort of champions was onboarded!Their training started with a session on code style, which we will summarize here in this post.Knowing more about code quality is relevant to all Champion projects, be it creating a new package, submitting a package to software review, or reviewing a package.This training session consisted of a talk and discussion, whereas the next package development training sessions will be more hands-on.Why

The rOpenSci Champions Program starts this 2024 with a new cohort of Champions. We are pleased to introduce you to our Champions and their projects!Ezekiel Adebayo Ogundepo Hello, I’m Ezekiel, a data science professional deeply fascinated by the intersection of mathematics, statistics, and real-world challenges.

Being a part of the rOpenSci Champion’s program has been a transformative experience, pushing me to explore the world of R package development and contribute to the world of open science. While my initial project proposal took a different route, the unexpected journey led me to create a valuable tool that I am proud to call my own – an R package ChartkickR.

One important aspect of rOpenSci’s mission is to build capacity and promote passionate community members who help the open science and open source software community grow and improve. The rOpenSci Champions Program is a unique opportunity for us to identify, recognize, and reward such individuals and support them in their work to improve their communities and the wider ecosystem.

Our first cohort of the rOpenSci Champions Program has now completed the first phase of their training.One of the goals of this program was to ensure that all participants gained new skills and understanding.We wanted to support Champions and Mentors, but also those who applied to the program but were not selected.Therefore we ensured that all groups had access to different training opportunities.