New and Published Books
110 of 21 results in Chapman & Hall/CRC The R Series

Multiple Factor Analysis by Example Using R
Series: Chapman & Hall/CRC The R Series
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the codeveloper of this methodology, Multiple Factor Analysis by Example Using R brings together the...
Published November 20th 2014 by Chapman and Hall/CRC

Nonparametric Statistical Methods Using R
Series: Chapman & Hall/CRC The R Series
A Practical Guide to Implementing Nonparametric and RankBased Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rankbased analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear...
Published October 9th 2014 by Chapman and Hall/CRC

Analyzing Sensory Data with R
Series: Chapman & Hall/CRC The R Series
Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue. Covering quantitative, qualitative,...
Published October 9th 2014 by Chapman and Hall/CRC

Advanced R
Series: Chapman & Hall/CRC The R Series
An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the...
Published September 25th 2014 by Chapman and Hall/CRC

Computational Actuarial Science with R
Series: Chapman & Hall/CRC The R Series
A HandsOn Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers...
Published August 26th 2014 by Chapman and Hall/CRC

Stated Preference Methods Using R
Series: Chapman & Hall/CRC The R Series
Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people’s preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates...
Published August 15th 2014 by Chapman and Hall/CRC

Using R for Introductory Statistics, Second Edition
Series: Chapman & Hall/CRC The R Series
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, taskoriented steps. The second edition maintains the...
Published June 26th 2014 by Chapman and Hall/CRC

Introduction to Scientific Programming and Simulation Using R, Second Edition
Series: Chapman & Hall/CRC The R Series
Learn How to Program Stochastic Models Highly recommended, the bestselling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easytoread introduction with extensive examples and exercises. This second edition continues to introduce...
Published June 12th 2014 by Chapman and Hall/CRC

Using R for Numerical Analysis in Science and Engineering
Series: Chapman & Hall/CRC The R Series
Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its addon packages to obtain numerical solutions to the complex mathematical...
Published April 24th 2014 by Chapman and Hall/CRC

Implementing Reproducible Research
Series: Chapman & Hall/CRC The R Series
In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must...
Published April 14th 2014 by Chapman and Hall/CRC
Forthcoming Books

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving
To Be Published March 19th 2015 
Graphical Data Analysis with R
To Be Published June 2nd 2015 
Parallel Computing for Data Science: With Examples in R, C++ and CUDA
To Be Published June 15th 2015 
Reproducible Research with R and R Studio, Second Edition
To Be Published July 15th 2015 
Dynamic Documents with R and knitr, Second Edition
To Be Published July 15th 2015 
Text Data Mining Using R
To Be Published December 15th 2015 
Spatial Microsimulation in R
To Be Published January 1st 2016 
R and Matlab
To Be Published January 15th 2016 
Interactive Documents with R
To Be Published January 15th 2016 
Introductory Fisheries Analysis with R
To Be Published January 15th 2016