![]() ![]() If you're interested in learning the material but don't plan to attend, please don't register for the session as seats are limited. Learn foundational skills for the R statistical programming language for working with data, including powerful control structures that can help automate. Please note: This session will not be recorded. This workshop is presented by Kate Kryder, Data Analysis and Visualization Specialist. ![]() If you run into any problems, please read further instructions on RStudio's website. To install RStudio, download and run this RStudio installer for Windows or this RStudio installer for macOS.If you run into any problems, please read further instructions on R's website. To install R, download and run this R installer for Windows or this R installer for macOS.Installation of R and RStudio beforehand is required. No prior experience with R, RStudio, or computer programming is required. We’ll walk you through the steps of creating your first graph, beginning with opening RStudio for the first time and ending with tips on how to continue learning in order to pursue your own projects. Please let the maintainers know if something is inaccurate or missing, either via e-mail or by submitting an issue or pull request in the GitHub repository linked above. Want to learn R and RStudio but don’t know where to start? This task view aims at presenting the useful R packages for the analysis of time to event data. ![]()
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