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Practical R 4

Applying R to Data Manipulation, Processing and Integration

  • Jon Westfall
Book
  • 290 Downloads

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Jon Westfall
    Pages 1-25
  3. Jon Westfall
    Pages 27-59
  4. Jon Westfall
    Pages 153-174
  5. Jon Westfall
    Pages 175-210
  6. Jon Westfall
    Pages 211-229
  7. Jon Westfall
    Pages 231-265
  8. Jon Westfall
    Pages 267-291
  9. Jon Westfall
    Pages 293-311
  10. Back Matter
    Pages 313-318

About this book

Introduction

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.  

You will:

  • 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 

Keywords

R R 4 stats statistics programming statistical software development application source code analysis data science practical projects examples applied recipes

Authors and affiliations

  • Jon Westfall
    • 1
  1. 1.Division of Counselor Education & Psychology, Division of Student Success CenterDelta State UniversityClevelandUSA

Bibliographic information