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

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Last updated on Jun 05, 2025 14:47:42 PDTView all revisionsView all revisions

Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
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“Very Good Condition! Cover may have light wear, pages in very good condition and binding is sturdy; ...
Brand
O'Reilly
MPN
1449359019
PublicationName
ABIS_BOOK
ISBN
9781449359010
Subject Area
Mathematics, Computers
Publication Name
Hands-On Programming with R : Write Your Own Functions and Simulations
Publisher
O'reilly Media, Incorporated
Item Length
9.2 in
Subject
Programming Languages / General, Mathematical & Statistical Software, Probability & Statistics / General, Data Processing
Publication Year
2014
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.7 in
Author
Garrett Grolemund
Item Weight
14.8 Oz
Item Width
7 in
Number of Pages
250 Pages

About this product

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1449359019
ISBN-13
9781449359010
eBay Product ID (ePID)
164755756

Product Key Features

Number of Pages
250 Pages
Publication Name
Hands-On Programming with R : Write Your Own Functions and Simulations
Language
English
Publication Year
2014
Subject
Programming Languages / General, Mathematical & Statistical Software, Probability & Statistics / General, Data Processing
Type
Textbook
Author
Garrett Grolemund
Subject Area
Mathematics, Computers
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
14.8 Oz
Item Length
9.2 in
Item Width
7 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.502855133
Synopsis
This 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 Number
QA276.45.R3

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