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Practical R 4 = applying R to data m...

Westfall, Jon.

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Practical R 4 = applying R to data manipulation, processing and integration /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Practical R 4/ by Jon Westfall.
Reminder of title:	applying R to data manipulation, processing and integration /
Author:	Westfall, Jon.
Published:	Berkeley, CA :Apress : : 2020.,
Description:	xiv, 318 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	R (Computer program language) -
Online resource:	https://doi.org/10.1007/978-1-4842-5946-7
ISBN:	9781484259467

Practical R 4 = applying R to data manipulation, processing and integration /
Westfall, Jon.

Practical R 4applying R to data manipulation, processing and integration /[electronic resource] :by Jon Westfall. - Berkeley, CA :Apress :2020. - xiv, 318 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9781484259467

Standard No.: 10.1007/978-1-4842-5946-7doiSubjects--Topical Terms:

784593
R (Computer program language)

LC Class. No.: QA276.45.R3 / W47 2020

Dewey Class. No.: 519.502855133

Practical R 4 = applying R to data manipulation, processing and integration /
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245 1 0 $a Practical R 4 $h [electronic resource] : $b applying R to data manipulation, processing and integration / $c by Jon Westfall.
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505 0 $a 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.
520 $a 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.
650 0 $a R (Computer program language) $3 784593
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856 4 0 $u https://doi.org/10.1007/978-1-4842-5946-7
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