Title: Advanced R, Second Edition, Author: Hadley Wickham
Title: An Introduction to Data Science, Author: Jeffrey S. Saltz
Title: Applied Spatial Statistics and Econometrics: Data Analysis in R, Author: Katarzyna Kopczewska
Title: Bare-bones R: A Brief Introductory Guide, Author: Thomas P. Hogan
Title: Clinical Trial Optimization Using R, Author: Alex Dmitrienko
Title: Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R, Author: Gabriel Valiente
Title: Complex Surveys: A Guide to Analysis Using R, Author: Thomas Lumley
Title: Cytokines and the CNS, Author: Richard M. Ransohoff
Title: Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving, Author: Deborah Nolan
Title: Introductory Adaptive Trial Designs: A Practical Guide with R, Author: Mark Chang
Title: Introductory Statistics with R, Author: Peter Dalgaard
Title: Introductory Time Series with R, Author: Paul S.P. Cowpertwait
Title: Joint Species Distribution Modelling: With Applications in R, Author: Otso Ovaskainen
Title: Latent Variable Modeling with R, Author: W. Holmes Finch
Title: Learning R: A Step-by-Step Function Guide to Data Analysis, Author: Richard Cotton
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: Molecular Data Analysis Using R, Author: Csaba Ortutay
Title: Permutation Tests for Stochastic Ordering and ANOVA: Theory and Applications with R, Author: Dario Basso
Title: Quantitative Corpus Linguistics with R: A Practical Introduction, Author: Stefan Th. Gries
Title: Quantitative Methods in Archaeology Using R, Author: David L. Carlson

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