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. Â
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| Author | Tony Fujs, Will Fenn, Ann Emery |
| Publisher | Latin American Youth Center, Innovation Network |
| Publication Date | October 19, 2013 |
| Publication City | Washington, DC, USA |
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| Submitted to Point K | October 28, 2013 - 1:32pm |
