The Book of R: A First Course in Programming and Statistics - Paperback - GOOD

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Zuletzt aktualisiert am 04. Jul. 2025 17:19:32 MESZAlle Änderungen ansehenAlle Änderungen ansehen

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Artikelzustand
Neuwertig: Buch, das wie neu aussieht, aber bereits gelesen wurde. Der Einband weist keine ...
Brand
Unbranded
Book Title
The Book of R: A First Course in Programming and Statistics
MPN
Does not apply
ISBN
9781593276515
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
No Starch Press, Incorporated
ISBN-10
1593276516
ISBN-13
9781593276515
eBay Product ID (ePID)
210311867

Product Key Features

Number of Pages
832 Pages
Publication Name
Book of R : a First Course in Programming and Statistics
Language
English
Subject
Programming Languages / General, Programming / General, Mathematical & Statistical Software, Probability & Statistics / General
Publication Year
2016
Type
Textbook
Subject Area
Mathematics, Computers
Author
Tilman M. Davies
Format
Trade Paperback

Dimensions

Item Height
1.6 in
Item Weight
47.1 Oz
Item Length
9.2 in
Item Width
7 in

Additional Product Features

Intended Audience
Trade
LCCN
2015-035305
Reviews
"You must see this epic work...a game changer." --Kirk Borne, Principal Data Scientist at Booz Allen Hamilton "Extremely well written with excellent explanations and examples, this book fully accomplishes the goal of providing the reading with both the programming and statistical skills required to become proficient with this language. I am nothing short of amazed at the consistent quality and clarity of the text and the utility of the exercises." --Computerworld " The Book of R is a gentle yet informative introduction to the statistical software environment R. It is for anyone interested in programming, statistics, and data analysis, and is especially well-suited for students and instructors of statistics courses." --Timothy King, Solutions Review "I've been looking for a book like this for some time. It fills some holes in my course content that my own book doesn't address." --insideBIGDATA "I recommend this book to both beginners, as a good introduction to basic statistics and R, and to intermediate users as a desktop reference to assist in performing day-to-day analysis." --One R Tip a Day "Overall, The Book of R is an excellent reference for novice data analysts and for students being introduced to statistical programming tools." --Harry J. Foxwell, ACM's Computing Reviews "Because it has a clearly defined structure, one can easily focus on aspects of specific interest . . . And this is, in fact, what the author intended: to serve a variety of audiences that would be interested in the dual aspects of using R as both a programming language and as a tool for statistical problem solving. In this regard, the book serves these audiences well, including students, researchers, and practitioners of both computing and statistical methods." --Janusz Zalewski, ACM's Computing Reviews "The book is therefore addressing two audiences with different needs - coders who might need help with understanding statistical concepts and statisticians of one breed or another who want to learn how to code. Satisfying both groups is a big ask, but Tilman Davies pulls it off." --Network Security Newsletter "Davies' book is perhaps the most comprehensive explanation of the core R language in print, and an excellent introduction to using R for statistical programming." --Oliver Keyes, sociotechnical systems researcher
TitleLeading
The
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.50285
Table Of Content
Preface PART I THE LANGUAGE 1 Getting Started 2 Numerics, Arithmetic, Assignment, and Vectors 3 Matrices and Arrays 4 Non-numeric Values 5 Lists and Data Frames 6 Special Values, Classes, and Coercion 7 Basic Plotting 8 Reading and Writing Files PART II PROGRAMMING 9 Calling Functions 10 Conditions and Loops 11 Writing Functions 12 Exceptions, Timings, and Visibility PART III STATISTICS AND PROBABILITY 13 Elementary Statistics 14 Basic Data Visualization 15 Probability 16 Common Probability Distributions PART IV STATISTICAL TESTING AND MODELING 17 Sampling Distributions and Confidence 18 Hypothesis Testing 19 Analysis of Variance 20 Simple Linear Regression 21 Multiple Linear Regression 22 Linear Model Selection and Diagnostics PART V ADVANCED GRAPHICS 23 Advanced Plot Customization 24 Going Further with the Grammar of Graphics 25 Defining Colors and Plotting in Higher Dimensions 26 Interactive 3D Plots APPENDICES A Installing R and Contributed Packages B Working with RStudio Bibliography
Synopsis
The Book of R is a comprehensive, beginner-friendly guide to R, the world s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you ll find everything you need to begin using R effectively for statistical analysis. You ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You ll even learn how to create impressive data visualizations with R s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R How to access R s thousands of functions, libraries, and data sets How to draw valid and useful conclusions from your data How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R s functionality. Make The Book of R your doorway into the growing world of data analysis., The Book of R is a comprehensive, beginner-friendly guide to R, the world's most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you'll find everything you need to begin using R effectively for statistical analysis. You'll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You'll even learn how to create impressive data visualizations with R's basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: -The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops -Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R -How to access R's thousands of functions, libraries, and data sets -How to draw valid and useful conclusions from your data -How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R's functionality. Make The Book of R your doorway into the growing world of data analysis.
LC Classification Number
QA76.73.R3D38 2015

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