Published Titles
Stated Preference Methods Using R, Hideo Aizaki, Tomoaki Nakatani,
and Kazuo Sato
Using R for Numerical Analysis in Science and Engineering, Victor A. Bloomfield
Event History Analysis with R, Göran Broström
Extending R, John M. Chambers
Computational Actuarial Science with R, Arthur Charpentier
Testing R Code, Richard Cotton
The R Primer, Second Edition, Claus Thorn Ekstrøm
Statistical Computing in C++ and R, Randall L. Eubank and Ana Kupresanin
Basics of Matrix Algebra for Statistics with R, Nick Fieller
Reproducible Research with R and RStudio, Second Edition, Christopher Gandrud
R and MATLAB®David E. Hiebeler
Statistics in Toxicology Using R Ludwig A. Hothorn
Nonparametric Statistical Methods Using R, John Kloke and Joseph McKean
Displaying Time Series, Spatial, and Space-Time Data with R,
Oscar Perpiñán Lamigueiro
Programming Graphical User Interfaces with R, Michael F. Lawrence
and John Verzani
Analyzing Sensory Data with R, Sébastien Lê and Theirry Worch
Parallel Computing for Data Science: With Examples in R, C++ and CUDA,
Norman Matloff
Analyzing Baseball Data with R, Max Marchi and Jim Albert
Growth Curve Analysis and Visualization Using R, Daniel Mirman
R Graphics, Second Edition, Paul Murrell
Introductory Fisheries Analyses with R, Derek H. Ogle
Data Science in R: A Case Studies Approach to Computational Reasoning and
Problem Solving, Deborah Nolan and Duncan Temple Lang
Multiple Factor Analysis by Example Using R, Jérôme Pagès
Customer and Business Analytics: Applied Data Mining for Business Decision
Making Using R, Daniel S. Putler and Robert E. Krider
Flexible Regression and Smoothing: Using GAMLSS in R, Mikis D. Stasinopoulos,
Robert A. Rigby, Gillian Z. Heller, Vlasios Voudouris, and Fernanda De Bastiani
Implementing Reproducible Research, Victoria Stodden, Friedrich Leisch,
and Roger D. Peng
