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

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 P...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Westfall, Jon
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress L.P., 2020.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Practical R 4 :  |b applying R to data manipulation, processing and integration /  |c 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, youll 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; youll 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, youll 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. 
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