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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.
“Very good explanations in an entertaining way, I really enjoyed the course
“As someone who has never coded before, this course was a lifesaver. Dr. Keyes takes you on an incredible journey as he follows a step-by-step approach to familiarise you with R and making it less intimidating to code. This course has encouraged me to continue learning R and hopefully, become proficient in it in the coming future.
“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.
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“What a great introduction to R! I have worked in Stata and SAS, but have been wanting to learn R for sometime. David's videos are fantastic - a great pace for those familiar with other programs or those for whom R is the first - and the best part is you get to go back to them as many times as you need or want! I'm excided to dive into the other R for the Rest of Us courses!!
“I've been working with R for several years, but looked at this intro just for the heck of it because I keep hearing about R for the Rest of Us. To my shock, I learned a few new very useful tricks. David is a clear and thoughtful teacher. Don't let the short videos or his calm presence trick you into thinking this is too simplistic. It is easy because David is clear. But he's also gently (subtly) telling you some REALLY important stuff. He's laying down an excellent foundation for your future work with R. Don't skip this. Build your good foundation with David's guidance. I'm so glad I finally decided to give R for the Rest of Us a look; now I need to go look at more of it.
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Consulting
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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.
Data viz tips for parameterized reporting: set consistent axis limits
August 1, 2024
One of the biggest challenges we face when doing parameterized is how to make plots consistent across multiple reports. We’ve learned (oftentimes the hard way) many tricks for dealing with this problem. One I want to share with you today is making your axis limits consistent when making multiple plots. Here’s an example of a plot that shows median income by county for the annual Oregon by the Numbers . Let me show you a simplified version of the function I created to make these plots. We’ll...
How to make polished population pyramids in ggplot: part 2
July 18, 2024
I wrote recently about how I revamped the process of making population pyramids for Oregon by the Numbers , the report I’ve worked on for the last several years. Rather than making one plot, I used the patchwork package to stitch together three parts: A plot for women on the left Age labels in the center A plot for men on the right The result is a polished version of a population pyramid that I’m quite pleased with. The blog post I wrote about making this version of the population pyramid saw...
Animated versions of common dplyr functions
July 17, 2024
One of the best parts about the functions in the dplyr package (one of several that make up the tidyverse collection of packages) is that their names indicate what they do. No need to remember a weird acronym; the name of the function to filter your data is filter() . But, helpful as these function names are, it can still be hard to remember exactly what the functions do. In remaking my Fundamentals of R course in 2023, I had Albert Rapp generate animated versions of the most common...