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

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.  

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 needed

Build 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.