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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 20 results in Chapman & Hall/CRC The R Series
  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Displaying Time Series, Spatial, and Space-Time Data with R

    By Oscar Perpinan Lamigueiro

    Series: Chapman & Hall/CRC The R Series

    Code and Methods for Creating High-Quality Data Graphics A data graphic is not only a static image, but it also tells a story about the data. It activates cognitive processes that are able to detect patterns and discover information not readily available with the raw data. This is particularly...

    Published April 3rd 2014 by Chapman and Hall/CRC

  9. Growth Curve Analysis and Visualization Using R

    By Daniel Mirman

    Series: Chapman & Hall/CRC The R Series

    Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual...

    Published February 23rd 2014 by Chapman and Hall/CRC

  10. Analyzing Baseball Data with R

    By Max Marchi, Jim Albert

    Series: Chapman & Hall/CRC The R Series

    With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of...

    Published October 28th 2013 by Chapman and Hall/CRC