Transforming Knowledge into Change

How to Climb the R Learning Curve Without Falling Off the Cliff: Advice from Novice, Intermediate, and Advanced R Users

R is hotter than ever in the evaluation field as evaluators are looking for ways to improve their data management, analysis, and visualizations. First-time R users are asking themselves, Is R right for my evaluation work? Where do I start if I want to learn R? How long will it take to learn R? Evaluators without programming experience are often frustrated by R's steep learning curve. These novice R users are left wondering, How can I climb the R learning curve without falling off the cliff?

To address these common questions, we assembled a panel of beginner, intermediate, and advanced R users at the American Evaluation Association's annual conference in Washington, D.C. in October 2013. Tony Fujs, Will Fenn, and Ann Emery shared real world examples of how they've used R to create data visualizations that were previously impossible for evaluators who don't have access to expensive software packages. Panelists shared their experiences learning R and will highlight the tips, tricks, and resources needed to transform beginner R users into R superstars and speakRs.

This resource is a handout that accompanied the panel.  


Bibliographic Details
Author Tony Fujs, Will Fenn, Ann Emery
Publisher Latin American Youth Center, Innovation Network
Publication Date October 19, 2013
Publication City Washington, DC, USA
Publication Work
Resource Type
Resource Focus
Submitted to Point K October 28, 2013 - 12:32pm

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