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: Statistics for Linguistics with R: A Practical Introduction, Author: Stefan Th. Gries
Title: The Art of R Programming: A Tour of Statistical Software Design, Author: Norman Matloff
Title: Time Series Analysis: With Applications in R, Author: Jonathan D. Cryer
Title: Introductory Time Series with R, Author: Paul S.P. Cowpertwait
Title: Quantitative Methods in Archaeology Using R, Author: David L. Carlson
Title: Introduction to Bioinformatics with R: A Practical Guide for Biologists, Author: Edward Curry
Title: R in Action: Data Analysis and Graphics with R, Author: Rob Kabacoff
Title: Biostatistics with R: An Introduction to Statistics Through Biological Data, Author: Babak Shahbaba
Title: Introductory Statistics with R, Author: Peter Dalgaard
Title: Computational Methods for Numerical Analysis with R, Author: II Howard
Title: Nonlinear Regression with R, Author: Christian Ritz
Title: Advanced R, Second Edition, Author: Hadley Wickham
Title: Parallel R: Data Analysis in the Distributed World, Author: Q. McCallum
Title: Applied Spatial Statistics and Econometrics: Data Analysis in R, Author: Katarzyna Kopczewska
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: Latent Variable Modeling with R, Author: W. Holmes Finch

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