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: Introductory Time Series with R, Author: Paul S.P. Cowpertwait
Title: Learning R: A Step-by-Step Function Guide to Data Analysis, Author: Richard Cotton
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: Bayesian Computation with R, Author: Jim Albert
Title: Analysis of Phylogenetics and Evolution with R, Author: Emmanuel Paradis
Title: Introductory Statistics with R, Author: Peter Dalgaard
Title: Introductory Fisheries Analyses with R, Author: Derek H. Ogle
Title: Data Analysis and Graphics Using R: An Example-Based Approach, Author: John Maindonald
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: R Primer, Author: Claus Thorn Ekstrom
Title: Introductory Adaptive Trial Designs: A Practical Guide with R, Author: Mark Chang
Title: Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R, Author: Gabriel Valiente
Title: Advanced R, Second Edition, Author: Hadley Wickham
Title: R for Programmers: Advanced Techniques, Author: Dan Zhang
Title: Practical Propensity Score Methods Using R, Author: Walter L. Leite
Title: Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving, Author: Deborah Nolan
Title: Clinical Trial Data Analysis Using R and SAS, Author: Ding-Geng (Din) Chen

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