New and Published Books
110 of 28 results in Chapman & Hall/CRC The R Series

Statistics in Toxicology Using R
Series: Chapman & Hall/CRC The R Series
The apparent contradiction between statistical significance and biological relevance has diminished the value of statistical methods as a whole in toxicology. Moreover, recommendations for statistical analysis are imprecise in most toxicological guidelines. Addressing these dilemmas, Statistics in...
Published December 21st 2015 by Chapman and Hall/CRC

Introductory Fisheries Analyses with R
Series: Chapman & Hall/CRC The R Series
A HowTo Guide for Conducting Common FisheriesRelated Analyses in R Introductory Fisheries Analyses with R provides detailed instructions on performing basic fisheries stock assessment analyses in the R environment. Accessible to practicing fisheries scientists as well as advanced undergraduate...
Published November 24th 2015 by Chapman and Hall/CRC

Basics of Matrix Algebra for Statistics with R
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

Dynamic Documents with R and knitr, Second Edition
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

Reproducible Research with R and R Studio, Second Edition
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

Parallel Computing for Data Science
With Examples in R, C++ and CUDA
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

R and MATLAB
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

Graphical Data Analysis with R
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

Data Science in R
A Case Studies Approach to Computational Reasoning and Problem Solving
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

Multiple Factor Analysis by Example Using R
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 codeveloper of this methodology, Multiple Factor Analysis by Example Using R brings together the...
Published November 20th 2014 by Chapman and Hall/CRC
Forthcoming Books

Spatial Microsimulation with R
To Be Published March 30th 2016 
Extending R
To Be Published June 9th 2016 
Regression and Classification in R: A Careful, Thus Practical View
To Be Published September 15th 2016 
R Programming and Data Science
To Be Published January 15th 2017