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Book Series

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

  2. 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

  3. 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

  4. 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

  5. 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 25th 2013 by Chapman and Hall/CRC

  6. 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 14th 2013 by Chapman and Hall/CRC

  7. Programming Graphical User Interfaces in R

    By Michael Lawrence, John Verzani

    Series: Chapman & Hall/CRC The R Series

    Programming Graphical User Interfaces with R introduces each of the major R packages for GUI programming: RGtk2, qtbase, Tcl/Tk, and gWidgets. With examples woven through the text as well as stand-alone demonstrations of simple yet reasonably complete applications, the book features topics...

    Published June 7th 2012 by Chapman and Hall/CRC

  8. Customer and Business Analytics

    Applied Data Mining for Business Decision Making Using R

    By Daniel S. Putler, Robert E. Krider

    Series: Chapman & Hall/CRC The R Series

    Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying...

    Published May 6th 2012 by Chapman and Hall/CRC

  9. Event History Analysis with R

    By Göran Broström

    Series: Chapman & Hall/CRC The R Series

    With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data,...

    Published April 2nd 2012 by CRC Press

  10. Statistical Computing in C++ and R

    By Randall L. Eubank, Ana Kupresanin

    Series: Chapman & Hall/CRC The R Series

    With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the...

    Published November 30th 2011 by Chapman and Hall/CRC

Forthcoming Books

  1. Using R for Numerical Analysis in Science and Engineering
    By Victor A. Bloomfield
    To Be Published April 30th 2014
  2. Multiple Factor Analysis by Example Using R
    By Jérôme Pagès
    To Be Published June 15th 2014
  3. Using R for Introductory Statistics, Second Edition
    By John Verzani
    To Be Published June 18th 2014
  4. Introduction to Scientific Programming and Simulation Using R, Second Edition
    By Owen Jones, Robert Maillardet, Andrew Robinson
    To Be Published June 25th 2014
  5. Computational Actuarial Science with R
    Edited by Arthur Charpentier
    To Be Published July 16th 2014
  6. Sensory Data Analysis by Example with R
    By Sebastien Le, Thierry Worch
    To Be Published July 27th 2014
  7. Stated Preference Methods Using R
    By Hideo Aizaki, Tomoaki Nakatani, Kazuo Sato
    To Be Published August 5th 2014
  8. Nonparametric Statistical Methods Using R
    By John Kloke, Joseph McKean
    To Be Published October 25th 2014
  9. Interactive Documents with R
    By Ramnath Vaidyanathan
    To Be Published October 25th 2014
  10. Statistical Computing with R, Second Edtion, 2nd Edition
    By Maria L. Rizzo
    To Be Published November 14th 2014

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