Applying R to Data Manipulation, Processing and Integration
Buch, Englisch, 318 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 626 g
ISBN: 978-1-4842-5945-0
Verlag: Apress
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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 Mouselab Web.- 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.