I recently gave a talk titled No Designer Needed: How to Create Beautiful Reports Using Only R at the CANSSI Ontario Statistical Software Conference. This talk showed how we at R for the Rest of Us use the pagedownpackage to make high-quality PDF reports for our clients. In the talk, I explained the two approaches
One of the most important tips we teach participants in R in 3 Months is to always use RStudio projects. There are a lot of resources out there that explain why this is useful (see, especially, Jenny Bryan’s article Project-Oriented Workflow). But many of these resources go a bit over the head of newcomers.
Folks just starting out with R often assume that those of us who are more experienced never need to get help. This is definitely not true! Everyone always searches for help, no matter how advanced an R user you are. Learning how to search for help when you need it is a
The thing that first drew me to R was the ability to run the same analysis on different datasets and get a similar output every time: the same graphs, the same analyses, the same structure to the report, but different data, so a different story to tell. We often talk about the power of R in
A lot of data visualizations are designed to show multiple data points (think bar charts that compare results for multiple groups). But what if you want to show just one data point? Say, for example, you want to show what percentage of people have accomplished something? There are two techniques we often
At R For The Rest of Us we spend a lot of time creating bespoke parameterised reports for our clients. In these reports, we often use CSS to create polished documents and to control the placement of our images. We’ve written about this approach elsewhere. In a recent project creating a needs assessment report on
