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A First Course in Statistical Programming with R 3rd ed. paper 280 p. 21

Braun, W. John, Murdoch, Duncan J.  著

在庫状況 海外在庫有り  お届け予定日 1ヶ月  数量 冊 
価格 特価  \7,297(税込)         

発行年月 2021年05月
出版社/提供元
出版国 アメリカ合衆国
言語 英語
媒体 冊子
装丁 paper
ページ数/巻数 280 p.
ジャンル 洋書
ISBN 9781108995146
商品コード 1032637825
本の性格 テキスト
商品URL
参照
https://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=1032637825

内容

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.

・Self-contained and accessible to anyone familiar with university-level calculus
・The basics of R syntax, statistical graphics, and the tidyverse are explained with real R code
・Programming ideas, including good, efficient style and debugging, are introduced
・Applications in simulation and optimization as well as numerical linear algebra are discussed

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