Title: The Book of R: A First Course in Programming and Statistics, Author: Tilman M. Davies
Title: Learning R: A Step-by-Step Function Guide to Data Analysis, Author: Richard Cotton
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: 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: Bayesian Computation with R, Author: Jim Albert
Title: Nonlinear Regression with R, Author: Christian Ritz
Title: Introduction to Bioinformatics with R: A Practical Guide for Biologists, Author: Edward Curry
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
Title: R Primer, Author: Claus Thorn Ekstrom
Title: Advances in Social Science Research Using R, Author: Hrishikesh D. Vinod
Title: Clinical Trial Optimization Using R, Author: Alex Dmitrienko
Title: Lattice: Multivariate Data Visualization with R, Author: Deepayan Sarkar
Title: Introductory Adaptive Trial Designs: A Practical Guide with R, Author: Mark Chang
Title: Molecular Data Analysis Using R, Author: Csaba Ortutay
Title: Latent Variable Modeling with R, Author: W. Holmes Finch
Title: Applied Statistical Genetics with R: For Population-based Association Studies, Author: Andrea S. Foulkes
Title: Applied Econometrics with R, Author: Christian Kleiber

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