R is Not Just for Big Data

“Oh yeah, I thought about learning R, but my data isn’t that big so it’s not worth it.”  I’ve heard that line more times than I can count. There is a common perception among non-R users that R is only worth learning if you work with “big data.” It’s

R’s Killer Feature: RMarkdown

Recently I’ve been talking with people considering learning R about RMarkdown. In my experience, when people think about switching to R, they often think about it as a direct replacement for the tool they currently use (i.e. Excel, SPSS, SAS, Stata, etc.). R can do everything that these tools do, of course, but RMarkdown is

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

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