Practical R 4

Applying R to Data Manipulation, Processing and Integration

Jon Westfall

PDF
ca. 62,99 €
Amazon iTunes Thalia.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Apress img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Programmiersprachen

Beschreibung

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.

     



    Weitere Titel von diesem Autor
    Weitere Titel in dieser Kategorie
    Cover Java Collections
    Java Collections
    Deryck F. Brown
    41,99 €
    Cover Helidon Revealed
    Helidon Revealed
    Michael P. Redlich
    64,99 €
    Cover Mastering Spring AI
    Mastering Spring AI
    Banu Parasuraman
    59,99 €
    Cover Numerical Python
    Numerical Python
    Robert Johansson
    37,99 €

    Kundenbewertungen

    Schlagwörter

    development, source, applied, recipes, examples, statistics, projects, programming, code, analysis, practical, software, data science, application, stats, R 4, statistical, R