Author: Jon Westfall Full Title: Practical R 4: Applying R To Data Manipulation, Processing And Integration Publisher: Apress; 1st ed. edition (June 30, 2020) Year: 2020 ISBN-13: 9781484259467 (978-1-4842-5946-7), 9781484259450 (978-1-4842-5945-0) ISBN-10: 1484259467, 1484259459 Pages: 318 Language: English Genre: Educational: Professional Computing File type: EPUB (True), PDF (True), Code Files Quality: 10/10 Price: 48.14 € 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. 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 Features: ✓ Written by an R expert and professor ✓ The first practical guide to using R 4 ✓ Packed with projects and sample application case studies Who This Book Is For: Some prior exposure to statistics, programming, and maybe SAS is recommended but not required. ------------- Our members see more. Join us!