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Prabhanjan Narayanachar Tattar - R Statistical Application Development by Example Beginners Guide

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Prabhanjan Narayanachar Tattar R Statistical Application Development by Example Beginners Guide
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Learn R Statistical Application Development from scratch in a clear and pedagogical manner

Overview

  • A self-learning guide for the user who needs statistical tools for understanding uncertainty in computer science data.
  • Essential descriptive statistics, effective data visualization, and efficient model building.
  • Every method explained through real data sets enables clarity and confidence for unforeseen scenarios.

In Detail

R Statistical Application Development by Example Beginners Guide explores statistical concepts and the R software, which are well integrated from the word go. This demarcates the separate learning of theory and applications and hence the title begins with R Statistical . Almost every concept has an R code going with it which exemplifies the strength of R and applications. Thus, the reader first understands the data characteristics, descriptive statistics, and the exploratory attitude which gives the first firm footing of data analysis. Statistical inference and the use of simulation which makes use of the computational power complete the technical footing of statistical methods. Regression modeling, linear, logistic, and CART, builds the essential toolkit which helps the reader complete complex problems in the real world.

The reader will begin with a brief understanding of the nature of data and end with modern and advanced statistical models like CART. Every step is taken with DATA and R code.

The data analysis journey begins with exploratory analysis, which is more than simple descriptive data summaries, and then takes the traditional path up to linear regression modeling, and ends with logistic regression, CART, and spatial statistics.

True to the title R Statistical Application Development by Example Beginners Guide, the reader will enjoy the examples and R software.

What you will learn from this book

  • Learn the nature of data through software which takes the preliminary concepts right away in R
  • Read data from various sources and export the R output to other software
  • Perform effective data visualization which respects the nature of variables and with rich alternative options
  • Do exploratory data analysis for useful first understanding which builds up the right attitude towards effective inference
  • Learn statistical inference through simulation combining the classical inference and modern computational power
  • Delve deep into regression models such as linear and logistic for continuous and discrete regressands which form the fundamentals of modern statistics
  • Introduce yourself to CART a machine learning tool which is very useful when the data has an intrinsic nonlinearity

Approach

Full of screenshots and examples, this Beginners Guide by Example will teach you practically everything you need to know about R statistical application development from scratch.

Who this book is written for

You will begin learning the first concepts of statistics in R which is vital in this fast paced era and it is also a bargain as you do not need to do a preliminary course on the subject.

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R Statistical Application Development by Example Beginner's Guide

R Statistical Application Development by Example Beginner's Guide

Copyright 2013 Packt Publishing

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.

Every effort 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, either express or implied. Neither the author, 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: July 2013

Production Reference: 1170713

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-84951-944-1

www.packtpub.com

Cover Image by Asher Wishkerman (<>)

Credits

Author

Prabhanjan Narayanachar Tattar

Reviewers

Mark ver der Loo

Mzabalazo Z. Ngwenya

A Ohri

Tengfei Yin

Acquisition Editor

Usha Iyer

Lead Technical Editor

Arun Nadar

Technical Editors

Madhuri Das

Mausam Kothari

Amit Ramadas

Varun Pius Rodrigues

Lubna Shaikh

Project Coordinator

Anurag Banerjee

Proofreaders

Maria Gould

Paul Hindle

Indexer

Hemangini Bari

Graphics

Ronak Dhruv

Production Coordinators

Melwyn D'sa

Zahid Shaikh

Cover Work

Melwyn D'sa

Zahid Shaikh

About the Author

Prabhanjan Narayanachar Tattar has seven years of experience with R software and has also co-authored the book A Course in Statistics with R published by Narosa Publishing House . The author has built two packages in R titled gpk and ACSWR. He has obtained a PhD (Statistics) from Bangalore University under the broad area of Survival Analysis and published several articles in peer-reviewed journals. During the PhD program, the author received the young Statistician honors in IBS(IR)-GK Shukla Young Biometrician Award (2005) and Dr. U.S. Nair Award for Young Statistician (2007) and also held a Junior and Senior Research Fellowship of CSIR-UGC.

Prabhanjan is working as a Business Analysis Advisor at Dell Inc, Bangalore. He is working for the Customer Service Analytics unit of the larger Dell Global Analytics arm of Dell.

I would like to thank Prof. Athar Khan, Aligarh Muslim University, whose teaching during a shared R workshop inspired me to a very large extent. My friend Veeresh Naidu has gone out of his way in helping and inspiring me complete this book and I thank him for everything that defines our friendship.

Many of my colleagues at the Customer Service Analytics unit of Dell Global Analytics, Dell Inc. have been very tolerant of my stat talk with them and it is their need for the subject which has partly influenced the writing of the book. I would like to record my thanks to them and also my manager Debal Chakraborty.

My wife Chandrika has been very cooperative and without her permission to work on the book during weekends and housework timings this book would have never been completed. Pranathi at 2 years and 9 months has started school, the pre-kindergarten, and it is genuinely believed that one day she will read this entire book.

I am also grateful to the reviewers whose constructive suggestions and criticisms have helped the book reach a higher level than where it would have ended up being without their help. Last and not least, I would like to take the opportunity to thank Usha Iyer and Anurag Banerjee for their inputs with the earlier drafts, and also their patience with my delays.

About the Reviewers

Mark van der Loo obtained his PhD at 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). His 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 coauthored a number of R packages that are available via CRAN, namely editrules, deducorrect, rspa, extremevalues, and stringdist. Together with Edwin de Jonge he authored the book Learning RStudio for R Statistical Computing . A list of his publications can be found at www.markvanderloo.eu.

Mzabalazo Z. Ngwenya has worked extensively in the field of statistical consulting and currently works as a biometrician. He holds an MSC in Mathematical Statistics from the University of Cape Town and is at present studying towards a PhD (School of Information Technology, University of Pretoria) in the field of Computational Intelligence. His research interests include statistical computing, machine learning, spatial statistics, and simulation and stochastic processes. Previously he was involved in reviewing Learning RStudio for R Statistical Computing by Mark P.J. van der Loo and Edwin de Jonge, Packt Publishing

A Ohri is the founder of analytics startup Decisionstats.com. He has pursued graduation studies from the University of Tennessee, Knoxville and the Indian Institute of Management, Lucknow. In addition, he has a Mechanical Engineering degree from the Delhi College of Engineering. He has interviewed more than 100 practitioners in analytics, including leading members from all the analytics software vendors. He has written almost 1300 articles on his blog besides guest writing for influential analytics communities. He teaches courses in R through online education and has worked as an analytics consultant in India for the past decade. He was one of the earliest independent analytics consultants in India and his current research interests include spreading open source analytics, analyzing social media manipulation, simpler interfaces to cloud computing, and unorthodox cryptography.

He is the author of R for Business Analytics .

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