Practical R 4: Applying R to Data Manipulation, Processing and Integration Paperback - 2020
by Westfall, Jon
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Details
- Title Practical R 4: Applying R to Data Manipulation, Processing and Integration
- Author Westfall, Jon
- Binding Paperback
- Condition Used - Good
- Pages 318
- Volumes 1
- Language ENG
- Publisher Apress
- Publication date 2020-07-01
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # 1484259459.G
- ISBN 9781484259450 / 1484259459
- Weight 1.28 lbs (0.58 kg)
- Dimensions 10 x 7 x 0.7 in (25.40 x 17.78 x 1.78 cm)
- Category Computers - Other Applications
- Quantity available 1
About Bonita California, United States
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From the publisher
From the rear cover
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