R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible.
You can find more information of R language on this link. R has its own IDE called RStudio which provide you with Matlab like environment for running R, and it also provide a Web IDE.
using Jupyter Notebook as R interface is an alternative to the RStudio, its fairly easy to setup and activated, we will discuss in depth about it in this post
You can find more information of R language on this link. R has its own IDE called RStudio which provide you with Matlab like environment for running R, and it also provide a Web IDE.
using Jupyter Notebook as R interface is an alternative to the RStudio, its fairly easy to setup and activated, we will discuss in depth about it in this post
