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A Course in Statistics with R Prabhanjan N. Tattar, Suresh Ramaiah, B. G. Manjunath ISBN: 978-1-119-15272-9 768 pages May 2016 Description Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications
A COURSEIN STATISTICS WITH R A COURSEIN STATISTICS WITH R Prabhanjan Narayanachar Tattar Fractal Analytics Inc Suresh ramaiah Karnatak University, India B.G. Manjunath Dell International services. India WILEY This edition first published 2016 o 2016 John wiley sons, Ltd Registered offic John wiley sons ltd, The Atrium, Southern gate, Chichester, West Sussex, Po19 8sQ, United Kingdom For details of our global editorial offices, for customer services and for information about how to apply for permissiontoreusethecopyrightmaterialinthisbookpleaseseeourwebsiteatwww.wiley.com The right of the author to be identified as the author of this work has been asserted in accordance with the Copyright, Designs and Patents Act 1988 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by the UK Copyright, Designs and Patents Act 1988, without the prior permission of the publisher Wiley also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic books Designations used by companies to distinguish their products are often claimed as trademarks. All brand names and product names used in this book are trade names, service marks, trademarks or registered trademarks of their respective owners. The publisher is not associated with any product or vendor mentioned in this book Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. It is sold on the understanding that the publisher is not engaged in rendering professional services and neither the publisher nor the author shall be liable for damages arising herefrom. If professional advice or other expert assistance is required, the services of a competent professional should be sought Library of Congress Cataloging-in-Publication Data applied for ISBN:9781119152729 A catalogue record for this book is available from the British Library Cover Image: Tee_ Photolive/Getty Set in 10/12pt, TimeslTStd by SPi Global, Chennai, India 12016 只(可)t 3元E Anna hazare For the efforts to bring them on the shore, the horizon hopes Contents List of Figures XVI List of tables Preface Acknowledgments XXV PartI THE PRELIMINARIES Why r? 1. 1 Why r? 1. R Installation 3 There is Nothing such as PRactICaLs 1. 4 Datasets inr and internet 1.4.1 List of Web-sites containing DATASETS 1.4.2 Antique datasets 33556789 1.5http://cran.r-project.org 1.5.1http:/r-project.org 10 1.5.2http://www.cran.r-project.org/web/views/ 1.5.3 Is subscribing to R-Mailing List useful? 10 1.6 R and its Interface with other Software 1.7 help and/or 1. 8R Books 1. 9 A Road Map 123 2 TThe r basics 15 2.1 Introduction 15 2.2 Simple arithmetics and a little beyond 16 2.2.1 Absolute values. remainders, etc 2.2.2 round, fioor, etc. 2.2.3 Summary Functions 18 Contents 2.2.4 Trigonometric Functions 18 2.2.5 Complex Numbers 2.2.6 Special Mathematical Functions 2. 3 Some basic r functions 22 2.3.1 Summary Statistics 23 2.3.2 is, as. is na, etc. 25 2.3.3 factors, levels, etc. 26 2.3.4 Control Programming 27 2.3.5 Other Useful Functions 29 2.3.6 Calculus* 31 2. 4 Vectors and matrices in r 33 2. 4. Vectors 33 2.4.2 Matrices 36 2.5 Data Entering and reading from files 41 2.5.1 Data entering 41 2.5.2 Reading Data from External Files 43 2.6 Working with Packages 44 2.7 R Session management 45 2.8 Further reading 46 2.9 Complements, Problems, and Programs 46 Data Preparation and Other Tricks 49 3.1 Introduction 49 3.2 Manipulation with Complex Format Files 50 3.3 Reading datasets of Foreign Formats 55 3.4 Displaying R Objects 56 3.5 Manipulation Using R Functions 57 3.6 Working with Time and Date 3.7 Text Manipulations 62 3.8 Scripts and Text Editors for R 64 3.8./ Text Editors for linuxians 64 3. 9 Further Reading 65 3.10 Complements. Problems, and programs 65 4 Exploratory Data Analysis 67 4.1 Introduction: The Tukeys School of Statistics 4.2 Essential Summaries of eda 68 4.3 Graphical Techniques in EDA 71 4.3.1 Boxplot 71 4.3.2 Histogram 76 4.3.3 Histogram Extensions and the rootogram 79 4.3.4 Pareto Chart 81 4.3.5 Stem-and-Leaf plot 84 4.3.6 Run chart 88 4.3.7 Scatter plot

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