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R is a free software environment for statistical computing and graphics Linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. It compiles and runs on a wide variety of unix platforms, windows and macos

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[2][10] the language is implemented primarily in c, fortran, and r itself Precompiled executables are available for the major operating systems (including linux, macos, and microsoft windows). This course is a set of tutorials sorted by category in which you will learn all the basics (and some more advanced content) to handle the r programming language. In this section, we will explore the steps to install and set up r and rstudio on your system

We'll also cover the necessary configurations to get started with writing and executing r code Installing r studio on windows and linux In this section, we will cover the basic concepts and syntax of r programming. Find out more about the r programming language below.

R is not just a programming language, but it is also an interactive ecosystem including a runtime, libraries, development environments, and extensions

All these features help you think about problems as a data scientist, while supporting fluent interaction between your brain and the computer. R is ‘gnu s’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques