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Abedin Jaynal - Data Manipulation with R

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Abedin Jaynal Data Manipulation with R

Data Manipulation with R: summary, description and annotation

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This book is for all those who wish to learn about data manipulation from scratch and excel at aggregating data effectively. It is expected that you have basic knowledge of R and have previously done some basic administration work with R.
Abstract: This book is for all those who wish to learn about data manipulation from scratch and excel at aggregating data effectively. It is expected that you have basic knowledge of R and have previously done some basic administration work with R

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Data Manipulation with R Second Edition

Data Manipulation with R Second Edition

Copyright 2015 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 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: January 2014

Second edition: March 2015

Production reference: 1250315

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78528-881-4

www.packtpub.com

Credits

Authors

Jaynal Abedin

Kishor Kumar Das

Reviewers

Erik M. Rodrguez Pacheco

Dr. Abbass Ismail Sharif

Dr. Brian J. Spiering

Jitendra Kumar Yadav

Commissioning Editor

Veena Pagare

Acquisition Editor

Sonali Vernekar

Content Development Editor

Manasi Pandire

Technical Editor

Utkarsha S. Kadam

Copy Editors

Khushnum Mistry

Karuna Narayanan

Vikrant Phadke

Adithi Shetty

Project Coordinator

Leena Purkait

Proofreaders

Stephen Copestake

Maria Gould

Paul Hindle

Jonathan Todd

Indexer

Monica Ajmera Mehta

Production Coordinator

Nilesh R. Mohite

Cover Work

Nilesh R. Mohite

About the Authors

Jaynal Abedin currently holds the position of senior statistician at the Centre for Communicable Diseases (CCD) at the International Centre for Diarrhoeal Disease Research, Bangladesh (http://www.icddrb.org/). He attained his bachelor's and master's degrees in statistics from the University of Rajshahi, Bangladesh. He has extensive experience in R programming and Stata, and has good leadership qualities. He has contributed to two books on R and also developed an R package named edeR, short for e-mail data extraction using R, which is available at CRAN (http://cran.r-project.org/web/packages/edeR/index.html). He is currently leading a team of statisticians. He has hands-on experience in developing training material and facilitating training in R programming and Stata, along with statistical aspects in public health research. His primary areas of interest in research include causal inference and machine learning. He is currently involved in several ongoing public health research projects, and is a coauthor of nine peer-reviewed scientific papers. Moreover, he is involved in several work-in-progress manuscripts. He works as a freelance statistician in online marketplaces and has obtained a good reputation for his work.

Kishor Kumar Das is a statistician at the International Centre for Diarrhoeal Disease Research, Bangladesh, an internationally recognized organization that focuses mainly on public health research. He completed his MSc and BSc in applied statistics from the Institute of Statistical Research and Training, University of Dhaka, Bangladesh. He has extensively used R for data processing, statistical analysis, and graphs for more than 10 years. His research interests are survival analysis, machine learning, and statistical computing.

About the Reviewers

Erik M. Rodrguez Pacheco works as a manager in the business intelligence unit at Banco Improsa in San Jos, Costa Rica. He has 11 years of experience in the finance industry. He is currently a professor of the Business Intelligence Specialization program at the Continuing Education Programs of Instituto Tecnolgico de Costa Rica. Erik is an enthusiast of new technologies, particularly those related to business intelligence, data mining, and data science. He holds a bachelor's degree in business administration from Universidad de Costa Rica, a specialization in business intelligence from Instituto Tecnolgico de Costa Rica, a specialization in data mining from Promidat (Programa Iberoamericano de Formacin en Minera de Datos), and a specialization in business intelligence and data mining from Universidad del Bosque, Colombia. He is currently enrolled in a specialization program in data science from Johns Hopkins University. He can be reached at http://cr.linkedin.com/in/erikrodriguezp.

Dr. Abbass Ismail Sharif is an assistant professor of clinical data sciences and operations at the University of Southern California. He holds a PhD in statistics, an MS in computer science, and an MS in instructional technology and learning sciences. Abbass does research in the field of statistical computing and data visualization. For this purpose, he extensively uses the R statistical environment. He has developed new multivariate visualization techniques for functional data, and is currently developing visualization techniques to study brain activity data collected using Near-infrared spectroscopy (NIRS) technology.

Abbass has won a prestigious research award from the American Statistical Society for his doctoral work. He teaches both graduate and undergraduate statistics courses that range from introductory statistics and data analysis for decision-making to advanced modern statistical learning techniques, statistical computing, and data visualization.

Dr. Brian J. Spiering started coding in his elementary school's computer laboratory, hacking BASIC to make programs that entertained his peers and annoyed the school authorities. Much later, he earned a PhD in psychology from the University of California, Santa Barbara, with emphasis on cognition, perception, and cognitive neuroscience. His research is focused on building mathematical and computer models of the human brain and behavior. He has taught biological psychology, data analysis, and statistics. Brian currently works as a data scientist and resides in San Francisco, California, USA.

Jitendra Kumar Yadav is a senior development architect working in research and development for product development and innovation. He is an expert in cloud and big data product development. He has contributed to the open source community in the form of code development and support for a variety of platforms based on big data, cloud technologies, virtualization, storage, networking, and cloud security. For this, he has used programming languages such as C++, Python, R, Java, Go, and Perl.

Jitendra loves to share his knowledge with fellow techies and others. He does so by publishing papers and books and attending corporate tech events. He has won several awards for his excellent contributions to product development in the fields of cloud computing, big data, artificial intelligence, and virtualization. He has over 12 years of professional experience, and has spent most of his time in research and development.

Occasionally, when Jitendra needs to take a break, he spends his time traveling.

I'd like to thank those who nurtured me, my mom and dad, for all the hope, faith, love, and wise counseling. I would also like to thank those from the Packt Publishing team who made this book happen, especially Leena and Sarah, the reviewers, and the MODX community for an awesome open source development platform.

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