Links
Links to related websites and resources.
R Weekly
R Weekly keeps track of great things in the R community and makes it more accessible to everyone. Some of my blog posts and resources have made the highlights of R Weekly!
View highlighted blogs
- 2024 Week 44: Parameterized plots and reports with R and Quarto
- 2024 Week 41: Getting started with generative art
- 2024 Week 37: Five ways to improve your chart axes
- 2024 Week 28: Faster R Code with Rust
- 2024 Week 23: Creating R tutorial worksheets (with and without solutions) using Quarto
- 2024 Week 02: Four ways to streamline your R workflows
- 2023 Week 51: Introduction to reproducible reporting with Quarto
- 2023 Week 49: How to make your own #RStats Wrapped!
- 2023 Week 44: Answering some {tidymodels} questions
- 2023 Week 40: Creating typewriter-styled maps in {ggplot2}
- 2023 Week 35: Creating template files with R
- 2023 Week 31: Adding social media icons to charts with {ggplot2}
- 2023 Week 20: Introducing {ggflowchart}
- 2023 Week 04: Seeing double? Building the same app in Shiny for R and Shiny for Python
- 2022 Week 49: How to make your own #RStats Wrapped!
- 2022 Week 41: Automatically deploying a Shiny app for browsing #RStats tweets with GitHub Actions
- 2022 Week 24: Creating flowcharts with {ggplot2}
R Weekly Podcast
The R Weekly Podcast offers a quick description of the latest highlighted blogs and other stories from the latest R Weekly issue. Some of my blog posts and resources have been discussed on the R Weekly Podcast!
Listen to featured episodes
- 2024 Week 44: Parameterized plots and reports with R and Quarto
- 2024 Week 37: Five ways to improve your chart axes
- 2024 Week 23: Creating R tutorial worksheets (with and without solutions) using Quarto
- 2024 Week 02: Four ways to streamline your R workflows
- 2023 Week 49: How to make your own #RStats Wrapped!
- 2023 Week 44: Answering some {tidymodels} questions
- 2023 Week 40: Creating typewriter-styled maps in {ggplot2}
- 2023 Week 35: Creating template files with R
- 2023 Week 31: Adding social media icons to charts with {ggplot2}
- 2023 Week 20: Introducing {ggflowchart}
- 2023 Week 04: Seeing double? Building the same app in Shiny for R and Shiny for Python
- 2022 Week 49: How to make your own #RStats Wrapped!
- 2022 Week 41: Automatically deploying a Shiny app for browsing #RStats tweets with GitHub Actions
- 2022 Week 24: Creating flowcharts with {ggplot2}
Data Science Learning Community
The Data Science Learning Community (formerly R4DS Online Learning Community) is a community of data science learners at all skill levels working together to improve their skills.
R-Ladies
R-Ladies is a global organisation that aims to promote gender diversity in the R community. Join the Slack workspace to meet other R users. Since September 2023 I’ve been the organiser of R-Ladies Lancaster, and since February 2024 I’ve been part of the R-Ladies Global Team working on Campaigns.
RoSE Network
The RoSE Network (Researchers of Statistics Education) creates an open and inclusive space for multidisciplinary researchers and practitioners of statistics education globally to connect, learn, and collaborate, toward advancing statistics education research. Since September 2023, I’ve been co-leading the Statistics Software Special Interest Group, and part of the Communications team.
RSS Teaching Statistics Section
The Teaching Statistics Section of the Royal Statistical Society provides a platform to collate and disseminate ideas and best practice in the teaching of statistics in post-18 education, including higher education and professional training. Since October 2023, I’ve been a a member of the RSS Teaching Statistics Section committee.
R-bloggers
R-bloggers is a blog aggregator of content contributed by bloggers who write about R. The R-related content of this blog can also be found on R-bloggers.