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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 18 results in Chapman & Hall/CRC The R Series
  1. 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 July 17th 2014 by Chapman and Hall/CRC

  2. 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 26th 2014 by Chapman and Hall/CRC

  3. 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 12th 2014 by Chapman and Hall/CRC

  4. 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 24th 2014 by Chapman and Hall/CRC

  5. 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 14th 2014 by Chapman and Hall/CRC

  6. 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 4th 2014 by Chapman and Hall/CRC

  7. 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 24th 2014 by Chapman and Hall/CRC

  8. 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 29th 2013 by Chapman and Hall/CRC

  9. Dynamic Documents with R and knitr

    By Yihui Xie

    Series: Chapman & Hall/CRC The R Series

    The cut-and-paste approach to writing statistical reports is not only tedious and laborious, but also can be harmful to scientific research, because it is inconvenient to reproduce the results. Dynamic Documents with R and knitr introduces a new approach via dynamic documents, i.e. integrating...

    Published July 26th 2013 by Chapman and Hall/CRC

  10. Reproducible Research with R and RStudio

    By Christopher Gandrud

    Series: Chapman & Hall/CRC The R Series

    Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research. Suitable for researchers in any quantitative empirical discipline, it presents practical tools for data collection, data...

    Published July 15th 2013 by Chapman and Hall/CRC

Forthcoming Books

  1. Computational Actuarial Science with R
    Edited by Arthur Charpentier
    To Be Published August 7th 2014
  2. Stated Preference Methods Using R
    By Hideo Aizaki, Tomoaki Nakatani, Kazuo Sato
    To Be Published August 22nd 2014
  3. Multiple Factor Analysis by Example Using R
    By Jérôme Pagès
    To Be Published September 4th 2014
  4. Analyzing Sensory Data with R
    By Sebastien Le, Thierry Worch
    To Be Published September 15th 2014
  5. Nonparametric Statistical Methods Using R
    By John Kloke, Joseph McKean
    To Be Published October 21st 2014
  6. Advanced R
    By Hadley Wickham
    To Be Published November 5th 2014
  7. Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving
    Edited by Deborah Nolan, Duncan Temple Lang
    To Be Published January 15th 2015
  8. Parallel Computation in Data Science: With Examples in R
    By Norman Matloff
    To Be Published February 26th 2015
  9. R and Matlab
    By David E. Hiebeler
    To Be Published May 15th 2015
  10. Interactive Documents with R
    By Ramnath Vaidyanathan
    To Be Published July 15th 2015

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