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Chapman & Hall/CRC The R Series

Series Editor: John M. Chambers, Torsten Hothorn, Duncan Temple Lang, Hadley Wickham

New and Published Books

1-10 of 23 results in Chapman & Hall/CRC The R Series
  1. Multiple Factor Analysis by Example Using R

    By Jérôme Pagès

    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 co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the...

    Published November 19th 2014 by Chapman and Hall/CRC

  2. Nonparametric Statistical Methods Using R

    By John Kloke, Joseph W. McKean

    Series: Chapman & Hall/CRC The R Series

    A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear...

    Published October 8th 2014 by Chapman and Hall/CRC

  3. Analyzing Sensory Data with R

    By Sebastien Le, Thierry Worch

    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 8th 2014 by Chapman and Hall/CRC

  4. Advanced R

    By Hadley Wickham

    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 24th 2014 by Chapman and Hall/CRC

  5. Computational Actuarial Science with R

    Edited by Arthur Charpentier

    Series: Chapman & Hall/CRC The R Series

    A Hands-On 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 25th 2014 by Chapman and Hall/CRC

  6. Stated Preference Methods Using R

    By Hideo Aizaki, Tomoaki Nakatani, Kazuo Sato

    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 14th 2014 by Chapman and Hall/CRC

  7. Using R for Introductory Statistics, Second Edition

    By John Verzani

    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, task-oriented steps. The second edition maintains the...

    Published June 25th 2014 by Chapman and Hall/CRC

  8. Introduction to Scientific Programming and Simulation Using R, Second Edition

    By Owen Jones, Robert Maillardet, Andrew Robinson

    Series: Chapman & Hall/CRC The R Series

    Learn How to Program Stochastic Models Highly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce...

    Published June 11th 2014 by Chapman and Hall/CRC

  9. Using R for Numerical Analysis in Science and Engineering

    By Victor A. Bloomfield

    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 add-on packages to obtain numerical solutions to the complex mathematical...

    Published April 23rd 2014 by Chapman and Hall/CRC

  10. Implementing Reproducible Research

    Edited by Victoria Stodden, Friedrich Leisch, Roger D. Peng

    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 13th 2014 by Chapman and Hall/CRC

Forthcoming Books

  1. Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving
    Edited by Deborah Nolan, Duncan Temple Lang
    To Be Published March 18th 2015
  2. Parallel Computation in Data Science: With Examples in R
    By Norman Matloff
    To Be Published May 26th 2015
  3. Graphical Data Analysis with R
    By Antony Unwin
    To Be Published July 15th 2015
  4. Introduction to Reproducible Research Workflows: With Tools Including R and R Studio, 2nd Edition
    By Christopher Gandrud
    To Be Published July 15th 2015
  5. Dynamic Documents with R and knitr, Second Edition
    By Yihui Xie
    To Be Published July 15th 2015

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