This repository contains the source files for the talk that I gave on September 9, 2021 at the Graphics Group in the Department of Statistics at Iowa State University.
R is a popular programming language used by millions of people worldwide for data analysis and visualization. Rmarkdown is a notebook format that allows R users to weave code output and narratives in a single document, and is extremely popular among data scientists for authoring reproducible articles. RStudio is a popular integrated development environment (IDE) that enhances user experience of working with R. In this talk, I will share my top 20 tips and tricks that can help optimize the experience and make working with R, Rmarkdown, and RStudio, faster, easier and intuitive.
The overall presentation is licensed under the Creative Commons Attribution-ShareAlike 4.0 International license (CC BY-SA 4.0), and the source files are licensed under the MIT license.