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: 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: 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: An Introduction to Data Science, Author: Jeffrey S. Saltz
Title: Learning R for Beginners: R Programming From The Ground Up!, Author: Dr. William Sewell
Title: Applied Surrogate Endpoint Evaluation Methods with SAS and R, Author: Ariel Alonso
Title: Analysis of Integrated and Cointegrated Time Series with R, Author: Bernhard Pfaff
Title: Permutation Tests for Stochastic Ordering and ANOVA: Theory and Applications with R, Author: Dario Basso
Title: Advanced R, Second Edition, Author: Hadley Wickham

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