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

Practical R 4: Applying R to Data Manipulation, Processing and Integration
PDF, ePUB
  • eBook:
    Practical R 4: Applying R to Data Manipulation, Processing and Integration
  • Author:
    Jon Westfall
  • Edition:
    1 edition
  • Categories:
  • Data:
    May 14, 2021
  • ISBN:
    1484259459
  • ISBN-13:
    9781484259450
  • Language:
    English
  • Pages:
    332 pages
  • Format:
    PDF, ePUB

Book Description
Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. 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 Mouselab Web. 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.

Content

Chapter 1: Getting Up and Running with R
Chapter 2: Feed the Beast: Getting Data into R
Chapter 3: Project 1: Launching, Analyzing, and Reporting a Survey Using R and LimeSurvey
Chapter 4: Project 2: Advanced Statistical Analysis Using R and MouselabWEB
Chapter 5: R in Everyday Life
Chapter 6: Project 3: The R Form Mailer
Chapter 7: Project 4: The R Powered Presentation
Chapter 8: R Anywhere
Chapter 9: Project 5: The Change Alert!
Chapter 10: Project 6: The R Personal Assistant

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