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: 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: 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: Lattice: Multivariate Data Visualization with R, Author: Deepayan Sarkar
Title: R Primer, Author: Claus Thorn Ekstrom
Title: Applied Econometrics with R, Author: Christian Kleiber
Title: Analysis of Integrated and Cointegrated Time Series with R, Author: Bernhard Pfaff
Title: Time Series Analysis: With Applications in R, Author: Jonathan D. Cryer
Title: Wavelet Methods in Statistics with R, Author: Guy Nason
Title: Introductory Adaptive Trial Designs: A Practical Guide with R, Author: Mark Chang
Title: Data Analysis Using Hierarchical Generalized Linear Models with R, Author: Youngjo Lee
Title: Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R, Author: Gabriel Valiente
Title: Molecular Data Analysis Using R, Author: Csaba Ortutay
Title: Uncertainty Analysis of Experimental Data with R, Author: Benjamin David Shaw
Title: Quantitative Methods in Archaeology Using R, Author: David L. Carlson

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