Title: The Book of R: A First Course in Programming and Statistics, Author: Tilman M. Davies
Title: R Projects For Dummies, Author: Joseph Schmuller
Title: R For Dummies, Author: Andrie de Vries
Title: Learning R: A Step-by-Step Function Guide to Data Analysis, Author: Richard Cotton
Title: The Art of R Programming: A Tour of Statistical Software Design, Author: Norman Matloff
Title: Generalized Additive Models: An Introduction with R, Second Edition, Author: Simon N. Wood
Title: Quantitative Methods in Archaeology Using R, Author: David L. Carlson
Title: R in Action: Data Analysis and Graphics with R, Author: Rob Kabacoff
Title: Mixed Effects Models and Extensions in Ecology with R, Author: Alain Zuur
Title: Spatial and Spatio-temporal Bayesian Models with R - INLA, Author: Marta Blangiardo
Title: Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS: Volume 1:Prelude and Static Models, Author: Marc Kéry
Title: Environmental and Ecological Statistics with R, Author: Song S. Qian
Title: Introduction to Bioinformatics with R: A Practical Guide for Biologists, Author: Edward Curry
Title: Parallel R: Data Analysis in the Distributed World, Author: Q. McCallum
Title: Data Analysis and Graphics Using R: An Example-Based Approach, Author: John Maindonald
Title: Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences, Author: Robert B. Gramacy
Title: Advanced Environmental Monitoring with Remote Sensing Time Series Data and R, Author: Alexandra Gemitzi
Title: R for Data Analysis, Part I, Author: Matthew  Moore
Title: Statistics for Linguistics with R: A Practical Introduction, Author: Stefan Th. Gries
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

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