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: Learning R: A Step-by-Step Function Guide to Data Analysis, Author: Richard Cotton
Title: Generalized Additive Models: An Introduction with R, Second Edition, Author: Simon N. Wood
Title: Introductory Time Series with R, Author: Paul S.P. Cowpertwait
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: Spatial and Spatio-temporal Bayesian Models with R - INLA, Author: Marta Blangiardo
Title: Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences, Author: Robert B. Gramacy
Title: Applied Spatial Statistics and Econometrics: Data Analysis in R, Author: Katarzyna Kopczewska
Title: Uncertainty Analysis of Experimental Data with R, Author: Benjamin David Shaw
Title: Time Series Analysis: With Applications in R, Author: Jonathan D. Cryer
Title: Bayesian Computation with R, Author: Jim Albert
Title: Analysis of Phylogenetics and Evolution with R, Author: Emmanuel Paradis
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: An Introduction to Data Science, Author: Jeffrey S. Saltz
Title: Mixed Effects Models and Extensions in Ecology with R, Author: Alain Zuur
Title: R for Programmers: Advanced Techniques, Author: Dan Zhang
Title: Joint Species Distribution Modelling: With Applications in R, Author: Otso Ovaskainen
Title: Statistics for Linguistics with R: A Practical Introduction, Author: Stefan Th. Gries

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