Reproducibility for the Rest of Us

When I first heard that one of the benefits of using R was reproducibility, I was confused. As a PhD anthropologist who has worked for the last several years in the world of program evaluation, I assumed reproducibility meant scientists in labs being able to rerun other scientists’ studies in order to check that they hadn’t

Making Small Multiples in R

Small multiples are one of the data viz tricks that experienced information designers LOVE. Ann Emery uses them: “My favorite part of data visualization workshops? The airports. Kidding. Watching jaws drop when folks are introduced to small multiples layouts for the first time. Definitely!” Stephanie Evergreen writes that “small multiples version[s] make things

Never roll that ball of yarn twice

Does your workflow look anything like this? Receive dataImport data to SPSSDo data cleaning and analysis in SPSSExport data to ExcelMake figures in ExcelCopy figures from Excel to WordWrite your report This, or some slight variation on it, is the workflow than many of us in evaluation use. It’s

R Handles the Beast and the Beauty

R is the Swiss army knife of data tools. It can handle the work of importing, cleaning, and wrangling data (the beast). And it can also make some of the most attractive graphs you’ve ever seen (the beauty). The Beast: Importing Data One concern that users considering R sometimes have is:

The Life-Changing Magic of R

Many people come to R for one simple reason: it’s free. That’s one reason why both of us started using it. But as people use R, they come to appreciate its power. Here’s an example: have you ever spent time using hlookups and vlookups to work with multiple columns in Excel. Was it a pain?