<p>Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of <i>Practical R 4</i> dives into specific projects and examples starting with running and analyzing a survey using R and LimeSurvey. Next, you'll carry out advanced statistical analysis using R and MouselabWeb. Then, you’ll see how R can work for you without statistics, including how R can be used to automate data formatting, manipulation, reporting, and custom functions.<br></p><p>The final part of this book discusses using R on a server; you’ll build a script with R that can run an RStudio Server and monitor a report source for changes to alert the user when something has changed. This project includes both regular email alerting and push notification. And, finally, you’ll use R to create a customized daily rundown report of a person's most important information such as a weather report, daily calendar, to-do's and more. This demonstrates how to automate such a process so that every morning, the user navigates to the same web page and gets the updated report.</p><p><b>What You Will Learn</b></p> <li>Set up and run an R script, including installation on a new machine and downloading and configuring R</li> <li>Turn any machine into a powerful data analytics platform accessible from anywhere with RStudio Server</li> <li>Write basic R scripts and modify existing scripts to suit your own needs</li> <li>Create basic HTML reports in R, inserting information as needed</li><li>Build a basic R package and distribute it<br></li> <p> </p><p> </p><p></p><p><b>Who This Book Is For</b> </p>Some prior exposure to statistics, programming, and maybe SAS is recommended but not required.<p></p><p> </p><br><br>