Learning RStudio for R Statistical Computing

所需积分/C币:10 2015-12-07 21:18:26 1.94MB PDF
收藏 收藏

R是用于统计分析、绘图的语言和操作环境。R是属于GNU系统的一个自由、免费、源代码开放的软件,它是一个用于统计计算和统计制图的优秀工具 此书非常适合入门
Copyright o 2012 Packt Publishi ing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews rt has been made in the preparation of this book to ensure the accuracy of the information presented However the information contained in this book is sold without warranty, cither express or implied. Neither the authors nor Packt Publishing and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals However, Packt Publishing cannot guarantee the accuracy of this information First published: December 2012 Production reference: 1171212 Published by Packt Publishing ltd Livery place 35 Livery street Birmingham b3 2PB UK ISBN978-178216-060-1 Cover Image by tarun Singh( Mark P. van der loo obtained his PhD from the Institute for Theoretical Chemistry at the University of Nijmegen(The Netherlands ). Since 2007 he has worked at the statistical methodology department of the Dutch official statistics office(Statistics Netherlands). Ilis research interests include automated data cleaning methods and statistical computing. At Statistics Netherlands he is responsible for the local r center of expertise, which supports and educates users on statistical computing with r. Mark has been teaching R for several years and(co)authored a number of r packages that are available via craN: editrules deducorrect rspa and extremevalues. A list of publications can be found at Edwin de jonge has worked for more than 15 years at the Dutch official statistics office Statistics Netherlands). Having a background in theoretical and computational solid state physics(MSc. he started working at the statistical computing department Currently he works with the statistical methodology department. His research interests include data visualization data analysis and statistical computing he has trained over 150 people in the workshop graphical analysis with r. Edwin has(co authored several packages that are available via CRAN: tabplot, tabplotdB, fbase, whisker, editrules, and deducorrect Mzabalazo Z Ngwenya has worked extensively in the field of consulting and currently works as a biometrician Yihui Xie is currently a PhD student in the Department of Statistics, lowa State University. His research interests include interactive statistical graphics, statistical computing, and reproducible research. He is the author of several R packages such as animation, cranvas, formatE, Rd2roxygen, and knitr, among which the animation package won the 2009 John M. Chambers Statistical Software Award (American Statistical Association). In 2006 he founded the Capital of statistics which has grown into a large online community on statistics in China. He also initiated the first Chinese r conference in 2008 and has been organizing R conferences in China since then. He is a co-author of the book Reproducible research with r(Chapman Hall), which is under development Support files, eBooks, discount offers and more You might want to visit for support files and downloads related to your book Did you know that Packt offers e Book versions of every book published, with PDF and ePub files available? You can upgrade to the e book version at and as a print book customer, you are entitled to a discount on the e Book copy. Get in touch with us at or more details At you can also read a collection of free technical articles, sign up for a range of free newsletters and receive exclusive discounts and offers on Packt books and ebooks PACKTLIB Do you need instant solutions to your it questions PacktLib is Packt's online digital book library. Here, you can access, read and search across Packt's entire library of books Fully searchable across every book published by Packt Copy and paste, print and bookmark content On demand and accessible via web browser If you have an account with Packt at you can use this to access Packtlib today and view nine entirely free books. Simply use your login credentials for immediate access Building R from source Building R using Windows Overview: A firstr session 12 Chapter 2: Writing R Scripts and the R Console Moving around STudio 21 Features of the r console 23 Completion of filenames 28 Table of contents Features of the source editor 30 Chapter 3: Viewing and Plotting Data 43 viewing data and the object browser 43 Plotting 46 Interactive plotting with the manipulate package 48 Chapter 4: Managing R Projects 57 Directory structure and file manipulations 59 Version control 60 Working with a team 73 Further reading 74 Summary Prerequisites for report generation 76 Table of Contents Workflow for r markdown Code chunks 85 MArkdown∵: Rmd files 86 Rhtml:. htm files Latex:. rnw files 86 Latex 89 Chapter 6: Using RStudio Effectively 93 Additional features for function writing Basic structure and workflow 98 Summary 03 Index 105

试读 126P Learning RStudio for R Statistical Computing
立即下载 低至0.43元/次 身份认证VIP会员低至7折
Learning RStudio for R Statistical Computing 10积分/C币 立即下载
Learning RStudio for R Statistical Computing第1页
Learning RStudio for R Statistical Computing第2页
Learning RStudio for R Statistical Computing第3页
Learning RStudio for R Statistical Computing第4页
Learning RStudio for R Statistical Computing第5页
Learning RStudio for R Statistical Computing第6页
Learning RStudio for R Statistical Computing第7页
Learning RStudio for R Statistical Computing第8页
Learning RStudio for R Statistical Computing第9页
Learning RStudio for R Statistical Computing第10页
Learning RStudio for R Statistical Computing第11页
Learning RStudio for R Statistical Computing第12页
Learning RStudio for R Statistical Computing第13页
Learning RStudio for R Statistical Computing第14页
Learning RStudio for R Statistical Computing第15页
Learning RStudio for R Statistical Computing第16页
Learning RStudio for R Statistical Computing第17页
Learning RStudio for R Statistical Computing第18页
Learning RStudio for R Statistical Computing第19页
Learning RStudio for R Statistical Computing第20页

试读结束, 可继续阅读

10积分/C币 立即下载 >