R Project

Downloads

R is both a language and a free software environment for statistical computing and graphics. R is widely used among academics, statisticians, and data miners for developing statistical software and data analysis. R provides a wide variety of statistical and graphical techniques, and is highly extensible. R is free and open-source. RStudio is a set of integrated tools designed to help you be more productive with R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management. It’s also free and open source. You should install R first, then RStudio.

• Download R

• Download RStudio

Resources

• Try-R - learn about vectors, matrices, factors, data frames and calculating and plotting some basic statistics: mean, median, and standard deviation, from Code School. 
• Introduction to R - beginners course from DataCamp.  
• Making Sense of Data - applies R to the analysis and plotting of social and medical science data, offered by the University of Toronto through Coursera.
• R Programming - advanced course including programming in R, cleaning data, exploratory data analysis, regression, machine learning, and reproducible research, part of the Johns Hopkins University Data Science Specialization, in which you can earn a Specialization Certificate.