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: Introductory Time Series with R, Author: Paul S.P. Cowpertwait
Title: Biostatistics with R: An Introduction to Statistics Through Biological Data, Author: Babak Shahbaba
Title: Introductory Statistics with R, Author: Peter Dalgaard
Title: An Introduction to Data Science, Author: Jeffrey S. Saltz
Title: Statistics for Linguistics with R: A Practical Introduction, Author: Stefan Th. Gries
Title: Applied Spatial Statistics and Econometrics: Data Analysis in R, Author: Katarzyna Kopczewska
Title: Data Manipulation with R, Author: Phil Spector
Title: Introductory Adaptive Trial Designs: A Practical Guide with R, Author: Mark Chang
Title: Molecular Data Analysis Using R, Author: Csaba Ortutay
Title: Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R, Author: Gabriel Valiente
Title: Latent Variable Modeling with R, Author: W. Holmes Finch
Title: Wavelet Methods in Statistics with R, Author: Guy Nason
Title: Interactive and Dynamic Graphics for Data Analysis: With R and GGobi, Author: Dianne Cook
Title: Applied Statistical Genetics with R: For Population-based Association Studies, Author: Andrea S. Foulkes
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: Clinical Trial Optimization Using R, Author: Alex Dmitrienko
Title: Analysis of Integrated and Cointegrated Time Series with R, Author: Bernhard Pfaff
Title: Advanced R, Second Edition, Author: Hadley Wickham

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