About this product

Product Identifiers

PublisherO'reilly Media, Incorporated

ISBN-101449359019

ISBN-139781449359010

eBay Product ID (ePID)164755756

Product Key Features

Number of Pages250 Pages

LanguageEnglish

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

SubjectProgramming Languages / General, Mathematical & Statistical Software, Probability & Statistics / General, Data Processing

Publication Year2014

TypeTextbook

Subject AreaMathematics, Computers

AuthorGarrett Grolemund

FormatTrade Paperback

Dimensions

Item Height0.7 in

Item Weight14.8 Oz

Item Length9.2 in

Item Width7 in

Additional Product Features

Intended AudienceScholarly & Professional

Dewey Edition23

IllustratedYes

Dewey Decimal519.502855133

SynopsisThis guide is ideal if you're a professional, manager, or student who wants practical knowledge of analyzing data, without having to get a PhD in statistics. It's also good for people who have a PhD in statistics, but may not know how to write programs that apply statistical methods to real data. Discover how to apply the R language to data analysis through active learning and hands-on demonstration. You'll learn how to use R libraries that useful and reliable for data analysis, and how they can save you time and stress. Learn from a PhD-level statistician who develops and leads R courses Start analyzing data with R, rather than absorb academic statistics concepts Run more powerful analyses and make better-looking graphs Spend less time coding, with ggplot2, plyr, reshape2, and lubridate Learn how to make decisions during a data analysis, This guide is ideal if you're a professional, manager, or student who wants practical knowledge of analyzing data--or if you have a PhD in statistics but don't know how to apply statistical methods to real data. You'll learn how to apply the R language to data analysis through active learning and hands-on demonstration., 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

LC Classification NumberQA276.45.R3