Title: The Book of R: A First Course in Programming and Statistics, Author: Tilman M. Davies
Title: Biostatistics with R: An Introduction to Statistics Through Biological Data, Author: Babak Shahbaba
Title: R For Dummies, Author: Andrie de Vries
Title: Learning R: A Step-by-Step Function Guide to Data Analysis, Author: Richard Cotton
Title: Introductory Time Series with R, Author: Paul S.P. Cowpertwait
Title: R Projects For Dummies, Author: Joseph Schmuller
Title: The Art of R Programming: A Tour of Statistical Software Design, Author: Norman Matloff
Title: Applied Spatial Statistics and Econometrics: Data Analysis in R, Author: Katarzyna Kopczewska
Title: Uncertainty Analysis of Experimental Data with R, Author: Benjamin David Shaw
Title: Time Series Analysis: With Applications in R, Author: Jonathan D. Cryer
Title: Bayesian Computation with R, Author: Jim Albert
Title: Parallel R: Data Analysis in the Distributed World, Author: Q. McCallum
Title: Analysis of Phylogenetics and Evolution with R, Author: Emmanuel Paradis
Title: Machine Learning with R: R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required '�� this book will take you methodically through every stage of applying machine learning., Author: Brett Lantz
Title: Interactive and Dynamic Graphics for Data Analysis: With R and GGobi, Author: Dianne Cook
Title: Joint Species Distribution Modelling: With Applications in R, Author: Otso Ovaskainen
Title: Applied Statistical Genetics with R: For Population-based Association Studies, Author: Andrea S. Foulkes
Title: Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health, Author: Roger D. Peng
Title: Introductory Adaptive Trial Designs: A Practical Guide with R, Author: Mark Chang
Title: Analysis of Integrated and Cointegrated Time Series with R, Author: Bernhard Pfaff

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