Title: Uncertainty Analysis of Experimental Data with R, Author: Benjamin David Shaw
Title: The Book of R: A First Course in Programming and Statistics, Author: Tilman M. Davies
Title: Testing R Code, Author: Richard Cotton
Title: Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences, Author: Robert B. Gramacy
Title: Statistics in Toxicology Using R, Author: Ludwig A. Hothorn
Title: Statistics for Linguistics with R: A Practical Introduction, Author: Stefan Th. Gries
Title: R Projects For Dummies, Author: Joseph Schmuller
Title: R Primer, Author: Claus Thorn Ekstrom
Title: R for Programmers: Advanced Techniques, Author: Dan Zhang
Title: R For Dummies, Author: Andrie de Vries
Title: Quantitative Methods in Archaeology Using R, Author: David L. Carlson
Title: Quantitative Corpus Linguistics with R: A Practical Introduction, Author: Stefan Th. Gries
Title: Permutation Tests for Stochastic Ordering and ANOVA: Theory and Applications with R, Author: Dario Basso
Title: Parallel R: Data Analysis in the Distributed World, Author: Q. McCallum
Title: Molecular Data Analysis Using R, Author: Csaba Ortutay
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: Learning R: A Step-by-Step Function Guide to Data Analysis, Author: Richard Cotton
Title: Learning R for Beginners: R Programming From The Ground Up!, Author: Dr. William Sewell
Title: Latent Variable Modeling with R, Author: W. Holmes Finch
Title: Joint Species Distribution Modelling: With Applications in R, Author: Otso Ovaskainen

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