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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 26 results in Chapman & Hall/CRC The R Series
  1. Basics of Matrix Algebra for Statistics with R

    By Nick Fieller

    Series: Chapman & Hall/CRC The R Series

    A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also covers advanced topics,...

    Published July 6th 2015 by Chapman and Hall/CRC

  2. Dynamic Documents with R and knitr, Second Edition

    By Yihui Xie

    Series: Chapman & Hall/CRC The R Series

    Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs, and...

    Published June 22nd 2015 by Chapman and Hall/CRC

  3. Reproducible Research with R and R Studio, Second Edition

    By Christopher Gandrud

    Series: Chapman & Hall/CRC The R Series

    All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio, Second Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire...

    Published June 11th 2015 by Chapman and Hall/CRC

  4. Parallel Computing for Data Science

    With Examples in R, C++ and CUDA

    By Norman Matloff

    Series: Chapman & Hall/CRC The R Series

    Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p...

    Published June 4th 2015 by Chapman and Hall/CRC

  5. R and MATLAB

    By David E. Hiebeler

    Series: Chapman & Hall/CRC The R Series

    The First Book to Explain How a User of R or MATLAB Can Benefit from the Other In today’s increasingly interdisciplinary world, R and MATLAB® users from different backgrounds must often work together and share code. R and MATLAB® is designed for users who already know R or MATLAB and now need to...

    Published June 2nd 2015 by Chapman and Hall/CRC

  6. Graphical Data Analysis with R

    By Antony Unwin

    Series: Chapman & Hall/CRC The R Series

    See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages...

    Published May 20th 2015 by Chapman and Hall/CRC

  7. Data Science in R

    A Case Studies Approach to Computational Reasoning and Problem Solving

    By Deborah Nolan, Duncan Temple Lang

    Series: Chapman & Hall/CRC The R Series

    Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the...

    Published April 21st 2015 by Chapman and Hall/CRC

  8. 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 20th 2014 by Chapman and Hall/CRC

  9. 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 9th 2014 by Chapman and Hall/CRC

  10. 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 9th 2014 by Chapman and Hall/CRC

Forthcoming Books

  1. Introductory Fisheries Analyses with R
    By Derek H. Ogle
    To Be Published December 9th 2015
  2. Statistics in Toxicology Using R
    By Ludwig A. Hothorn
    To Be Published February 9th 2016
  3. Spatial Microsimulation in R
    By Robin Lovelace, Morgane Dumont
    To Be Published April 15th 2016

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