This manuscript serves as a review of how the R language has been used in the last decade to address problems related to medicinal chemistry design. This includes the use of the R language for chemoinformatics applications and interfaces, as well as statistical modeling for ADMET and potency endpoints. Additionally, a few examples of R code are provided to demonstrate the ability of this language to make available cutting-edge statistical analysis to the medicinal chemistry design community.