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R in 3 Months
R in 3 Months
Looking for even more? R in 3 Months is a cohort-based program to help you finally learn R.
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With R in 3 Months, you’ll get high-quality instruction that will guide you from R newbie to R expert.
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You'll work on your own code every week and get in-depth feedback.
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You'll be on this journey alongside a supportive community that will help you learn and keep you accountable to yourself.
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“My team is continuing to use the R we learned from you and your team - it's been a game changer for us and we've only scratched the surface on what we know how to do.
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“This course is a gem. It rests on a solid perspective as to how to bring R and allied resources in a comprehensive toolbox. It allows one to understand how to use R from building a data frame to creating meaningful graphics and reports. I can’t help but to marvel at Dr. David Keyes’ ability to bring together different r packages and making them accessible to the rest of us.
“This setup was exactly what I was looking for to have resources in bite size chunks to practice and to refer back to. I knew I was too anxious to try to teach myself, but by starting the process with the course, I feel ready to open R, and find resources to do what I want to do with it, and have a foundation if I ever take a course again that works exclusively in it. I would highly recommend this course!
“This course really helped me demystify the process of getting started in R!! I was so so scared and waited until the last necessary moment to get started and this guided me to get to a place where I can be successful and confident. Highly recommend!
“Great instruction, I would recommend this course. Thanks.
“As we get to the end of the course, I'm feeling so much stronger in my ability to work with my data and make the visualizations I need. In the first part of the course I kept thinking, "I'm not sure if this is more time-efficient than using Stata"; later on I felt that it would be best to do my data wrangling in Stata and my data vis for maps and complex plots in R; and now I'm starting most of my new projects in R, as RMarkdown files, and planning forthcoming analyses with collaborators in R.
“I have attended a few R courses, some of which were well taught, but nowhere near as practical as yours. I'll certainly continue subscribing and be considering your future courses.
“Very good explanations about how to using r, also he doesn't go fast so you can understand way better everything. Highly reccomendated :)
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High-quality data visualization, workflow improvements, and custom packages to enable organizations to communicate more effectively and more efficiently.
Childhood Bereavement Estimation Model Reports
Judi’s House/JAG Institute, a nonprofit in Colorado, provides support regarding childhood bereavement. In 2018, they created the Childhood Bereavement Estimation Model® (CBEM) to estimate rates of children losing a parent or sibling before adulthood. Annual CBEM reports were produced, but racial and ethnic data breakdowns were lacking until 2021. Partnering with R for the Rest of Us, they generated high-quality, easy-to-understand reports on bereavement disparities by race and ethnicity. These national and state-level reports, created using parameterized reporting and RMarkdown, help advance their vision that no child should be alone in grief.
Immunization Agenda 2030 Reports
The World Health Organization's Immunization Agenda 2030 (IA2030) aims to improve global vaccine access. To better report progress, the International Vaccine Access Center at Johns Hopkins University partnered with R for the Rest of Us in 2023. They produced 72 user-friendly country-level reports in English and French, using parameterized reporting. These reports highlight individual country progress, use less technical language than previous online scorecards, and are in a printable PDF format for review.
Improving R Training for NOAA Fisheries West Coast Region
NOAA Fisheries West Coast region (NOAA WCR) aims to maintain healthy fish populations along the west coast, with offices in California, Oregon, and Washington. Recently, they have increased their use of R, arranging internal trainings and seeking additional support in 2024 from R for the Rest of Us. They created a 6-week training program focusing on R fundamentals, advanced R topics, and GitHub integration. By the end, NOAA WCR staff efficiently produced technical memoranda and improved their workflows using R and Quarto.
Blog
Blog
Learn to use the most powerful tool for working with data.
Even if you've never coded before.
How to make heatmaps in ggplot
May 1, 2025
Heatmaps are a common way of representing data. In this blog post, I'll show you how to make your own heatmaps using ggplot. In the process, you'll learn a bit about working with the {sf} package, specifically the st_make_grid() function to make a grid, the st_intersection() function to clip the boundaries of your geography to the grid you create, and st_join() to do spatial joins. This blog post is adapted from a lesson in the Mapping with R course . If you want to learn to make heatmaps...
Use shadows in ggplot to highlight findings
April 24, 2025
In our consulting work, we make a lot of the data visualization for parameterized reporting . It’s something I spoke about in my 2024 Cascadia R Conf talk, How to Make a Thousand Plots Look Good: Data Viz Tips for Parameterized Reporting . One example I gave in this talk came from our work with the Johns Hopkins International Vaccine Access Center and the World Health Organization . In this project, we made reports for the Immunization Agenda 2030 project, which tracks the progress countries...
Create your own custom {ggplot2} theme
April 3, 2025
Creating custom themes in {ggplot2} lets you elevate your data visualizations from standard to standout. Whether you’re aiming for a polished, brand-consistent look for your organization or a unique aesthetic that reflects your personal style, a custom theme function makes it easy to apply your design to all figures with a single line of code. In this tutorial, we’ll cover: the essentials of the powerful ggplot2::theme() function, including how to adjust fonts, colors, sizing, and spacing;...