R is an open-source programming language for statistical analysis and data visualization. Although there are other statistical analysis software like SPSS, SAS, and Stata available in the market, there are several benefits to use R:
One of the advantages of using R is that you can directly apply a vast array of pre-existing packages or libraries which are written by other users. You can find more R libraries on the Comprehensive R Archive Network (CRAN) and available cheatsheets on RStudio. Here are some popular R libraries:
RStudio is an integrated development environment (IDE) for R. You must install R before you can use RStudio. You can download and install R and RStudio for Windows and Mac OS from the links below:
The Library has subscribed to DataCamp, an interactive learning platform that allows you to build data skills at your own pace. You can find topics like data cleaning, data visualization, machine learning, data engineering, statistics, and more. Most courses are beginner-friendly!
There are many interactive learning materials for R and other programming languages. Just register through Library's page to get started.
You can also learn how to use R from the recorded workshops conducted by ITS.