The R Project for Statistical Computing provides a software environment that is freeware for statistical computing and graphics. R and all of its libraries, or packages, allow its users to undertake many statistical techniques that include data handling and manipulation, classical statistical tests/analyses, Bayesian analyses, data reduction techniques, and cutting-edge statistics. The most common method of using R is through R Studio, an integrated development environment for R. R Studio includes a console, syntax-highlighting editor, code completion, smart indentation, tools for plotting, history, debugging, and workspace management, including package installation and updates. The R Project for Statistical Computing is often not considered an easy software program to learn, particularly if the user has little or no experience working with code or syntax in other statistical software.