Practical R 4 : Applying R to Data Manipulation, Processing and Integration Paperback / softback

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 Practical R 4 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. 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. What You Will Learn Set up and run an R script, including installation on a new machine and downloading and configuring R Turn any machine into a powerful data analytics platform accessible from anywhere with RStudio Server Write basic R scripts and modify existing scripts to suit your own needs Create basic HTML reports in R, inserting information as neededBuild a basic R package and distribute it  Who This Book Is For Some prior exposure to statistics, programming, and maybe SAS is recommended but not required.