Title: The Book of R: A First Course in Programming and Statistics, Author: Tilman M. Davies
Title: Statistics for Linguistics with R: A Practical Introduction, Author: Stefan Th. Gries
Title: Learning R: A Step-by-Step Function Guide to Data Analysis, Author: Richard Cotton
Title: R in Action: Data Analysis and Graphics with R, Author: Rob Kabacoff
Title: Introductory Time Series with R, Author: Paul S.P. Cowpertwait
Title: A Modern Approach to Regression with R, Author: Simon Sheather
Title: Biostatistics with R: An Introduction to Statistics Through Biological Data, Author: Babak Shahbaba
Title: Joint Species Distribution Modelling: With Applications in R, Author: Otso Ovaskainen
Title: Introduction to Bioinformatics with R: A Practical Guide for Biologists, Author: Edward Curry
Title: An Introduction to Data Science, Author: Jeffrey S. Saltz
Title: Introductory Statistics with R, Author: Peter Dalgaard
Title: Molecular Data Analysis Using R, Author: Csaba Ortutay
Title: Analysis of Integrated and Cointegrated Time Series with R, Author: Bernhard Pfaff
Title: Interactive Web-Based Data Visualization with R, plotly, and shiny, Author: Carson Sievert
Title: Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health, Author: Roger D. Peng
Title: Advanced R, Second Edition, Author: Hadley Wickham
Title: Complex Surveys: A Guide to Analysis Using R, Author: Thomas Lumley
Title: Bare-bones R: A Brief Introductory Guide, Author: Thomas P. Hogan
Title: Latent Variable Modeling with R, Author: W. Holmes Finch
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

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