Book Image

R Statistical Application Development by Example Beginner's Guide

By : Prabhanjan Narayanachar Tattar
Book Image

R Statistical Application Development by Example Beginner's Guide

By: Prabhanjan Narayanachar Tattar

Overview of this book

<p>"R Statistical Application Development by Example Beginner’s 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.<br /><br />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.<br /><br />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.<br /><br />True to the title R Statistical Application Development by Example Beginner’s Guide, the reader will enjoy the examples and R software.</p>
Table of Contents (18 chapters)
R Statistical Application Development by Example Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
References
Index

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.

http://www.springer.com/statistics/book/978­1­4614­4342­1