Title: Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving, Author: Deborah Nolan
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: Biostatistics with R: An Introduction to Statistics Through Biological Data, Author: Babak Shahbaba
Title: Analysis of Phylogenetics and Evolution with R, Author: Emmanuel Paradis
Title: Parallel R: Data Analysis in the Distributed World, Author: Q. McCallum
Title: The Art of R Programming: A Tour of Statistical Software Design, Author: Norman Matloff
Title: Mixed Effects Models and Extensions in Ecology with R, Author: Alain Zuur
Title: Time Series Analysis: With Applications in R, Author: Jonathan D. Cryer
Title: Complex Surveys: A Guide to Analysis Using R, Author: Thomas Lumley
Title: Advances in Social Science Research Using R, Author: Hrishikesh D. Vinod
Title: Introductory Time Series with R, Author: Paul S.P. Cowpertwait
Title: Bayesian Computation with R, Author: Jim Albert
Title: Permutation Tests for Stochastic Ordering and ANOVA: Theory and Applications with R, Author: Dario Basso
Title: Applied Statistical Genetics with R: For Population-based Association Studies, Author: Andrea S. Foulkes
Title: Nonlinear Regression with R, Author: Christian Ritz
Title: Applied Econometrics with R, Author: Christian Kleiber
Title: Bioconductor Case Studies, Author: Florian Hahne
Title: Introductory Statistics with R, Author: Peter Dalgaard
Title: Wavelet Methods in Statistics with R, Author: Guy Nason

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