> For the complete documentation index, see [llms.txt](https://ourstatsclub.gitbook.io/r-intro/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ourstatsclub.gitbook.io/r-intro/master.md).

# Getting Start with R Programming

## Introduction to R

## Let's Getting Used to R, RStudio, and R Markdown

### Introduction

This book was written to give students and statistical enthusiastic who are new to [R](https://www.r-project.org/), [RStudio](https://www.rstudio.com/), and [R Markdown](http://rmarkdown.rstudio.com/) the tools they need to begin making their statistical analysis skills. R is an open-source programming language that has seen its popularity grow tremendously in recent years, with developers adding new functionality via packages on a daily basis. RStudio is a graphical development environment that makes it easier to write and view the results of R code, and R Markdown provides an easy way to produce rich, fully-documented, statistical/reproducible analyses.

This book will evolve and be updated as needed based on reader feedback. You can see when the book was last updated below.

We strongly recommend you to use R version 3.6.0 or higher, RStudio Desktop version 1.3 or higher, and `rmarkdown` R package version 2.3 or higher. This will ensure that your setup matches with the description in this book, making it easier to follow along.

#### What we are Learning Here:

1. What is R and Why?
2. Basics of R and R studio
3. R Markdown

This book was last updated by Our Stats Club on Sunday, July 12, 2020.


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