Learning R programming

Source: Deep Learning on Medium

Every resource you’d ever need from Beginner to Advanced

Source: Towardsdatascience.com

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. It is easily available to any user with over 13000 packages already developed and more still under development. Because of the wide variety of packages available, one may get overwhelmed by so many resources and not know where to start from or even continue to while on the learning process.

To make your learning process very easy, this article seeks to give you a concise number of materials ranging from pdfs to videos. If you are an intending R user or already a user and want unstifled progress this article is for you.

What is R?

R is a programming language developed by Ross Ihaka and Robert Gentleman in 1993. R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Most of the R libraries are written in R, but for heavy computational task, C, C++ and Fortran codes are preferred.

Source: Dataflair

Learning guide will be distributed into beginner, Intermediate and Advanced resources respectively.