9781449359010-1449359019-Hands-On Programming with R: Write Your Own Functions and Simulations

Hands-On Programming with R: Write Your Own Functions and Simulations

ISBN-13: 9781449359010
ISBN-10: 1449359019
Edition: 1
Author: Garrett Grolemund
Publication date: 2014
Publisher: O'Reilly Media
Format: Paperback 230 pages
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Book details

ISBN-13: 9781449359010
ISBN-10: 1449359019
Edition: 1
Author: Garrett Grolemund
Publication date: 2014
Publisher: O'Reilly Media
Format: Paperback 230 pages

Summary

Hands-On Programming with R: Write Your Own Functions and Simulations (ISBN-13: 9781449359010 and ISBN-10: 1449359019), written by authors Garrett Grolemund, was published by O'Reilly Media in 2014. With an overall rating of 4.0 stars, it's a notable title among other Data Processing (Databases & Big Data, Mathematical & Statistical, Software) books. You can easily purchase or rent Hands-On Programming with R: Write Your Own Functions and Simulations (Paperback) from BooksRun, along with many other new and used Data Processing books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $7.49.

Description

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools.

RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time.

  • Work hands-on with three practical data analysis projects based on casino games
  • Store, retrieve, and change data values in your computer’s memory
  • Write programs and simulations that outperform those written by typical R users
  • Use R programming tools such as if else statements, for loops, and S3 classes
  • Learn how to write lightning-fast vectorized R code
  • Take advantage of R’s package system and debugging tools
  • Practice and apply R programming concepts as you learn them
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