Getting Started with R & RStudio | Computational Statistics (5)

Welcome to the fifth lesson in our Computational Statistics series.

R is a powerful, open-source programming language and software environment designed specifically for statistical computing, data analysis, and graphical visualization. RStudio is the premier Integrated Development Environment (IDE) that wraps around base R, providing a user-friendly, four-pane interface for script management, variable tracking, and debugging.

In this lecture, we walk through the step-by-step process of installing and navigating R and RStudio. We emphasize the critical order of operations: you must successfully install the core computational engine (Base R) from CRAN before you install the graphical interface (RStudio) from Posit.

We also cover:
The RStudio Interface: A complete tour of the source editor, console, environment tracking, package management, and plot viewing panes.
Virtual Machines: How university students can access RStudio remotely using the school's application gateway.
Saving Workspaces: The difference between saving an R script (.R) and saving an entire R environment workspace.
Official Documentation: How to navigate the built-in help features, pull up parameter requirements for specific functions using the ? operator, and run built-in examples.

► Watch the previous video in this series: https://www.youtube.com/watch?v=t0SilSdluo8&list=PL_fCLSKRzLwSINMinug2xWNyqMTMQ1aZ2&index=4
► Watch the next video in this series: https://www.youtube.com/watch?v=t0SilSdluo8&list=PL_fCLSKRzLwSINMinug2xWNyqMTMQ1aZ2&index=6

Don't forget to subscribe for more complete courses on mathematics and statistics.

TIMESTAMPS:
00:00:00 What will we learn about R and R Studio?
00:00:18 How to download and install base R from CRAN?
00:04:14 Why is the R programming language hard to Google?
00:07:19 How to download and install R Studio?
00:08:48 How to navigate the R Studio interface and panes?
00:13:59 How to use R Studio on a university virtual machine?
00:18:24 What are the base features of the R programming language?
00:20:52 What is the console vs the source editor in R Studio?
00:23:33 How to save scripts and environment variables in R?
00:25:28 How to look up help documentation for R functions?
00:31:17 How to run built-in example code in R?
00:33:05 How to search for help within a specific R package?

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