R is a versatile programming language, best suited for a variety of data science needs. Whether you need to run some statistical analyses, create publication-worthy data visualizations, or even publish a website, R has a multitude of tools to help you get what you need done. This workshop is intended to get interested users up to speed with the R language and the RStudio interactive developing environment. By the end, you’ll be able to install and load packages, read in data, do basic data wrangling and visualization, and navigate the RStudio environment. Note: Please install R & R Studio ahead of the Workshop following this instruction. If you have any installation issues, you can come to the R User Group (RUG) meeting.
You must install both R and RStudio for all R workshops. To install R, follow the instructions at this link: https://cran.mirrors.hoobly.com/ To install RStudio, follow the instructions at this link: https://www.rstudio.com/products/rstudio/
If you have any installation problems, write to Sam at firstname.lastname@example.org, or join the R User Group Slack channel at https://bit.ly/3C8d4vv
Sign up for free at this link.