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: Clinical Trial Optimization Using R, Author: Alex Dmitrienko
Title: Analysis of Integrated and Cointegrated Time Series with R, Author: Bernhard Pfaff
Title: Parallel R: Data Analysis in the Distributed World, Author: Q. McCallum
Title: Advanced R, Second Edition, Author: Hadley Wickham
Title: Joint Species Distribution Modelling: With Applications in R, Author: Otso Ovaskainen
Title: Permutation Tests for Stochastic Ordering and ANOVA: Theory and Applications with R, Author: Dario Basso
Title: Learning R for Beginners: R Programming From The Ground Up!, Author: Dr. William Sewell
Title: Quantitative Methods in Archaeology Using R, Author: David L. Carlson
Title: Advances in Social Science Research Using R, Author: Hrishikesh D. Vinod
Title: Complex Surveys: A Guide to Analysis Using R, Author: Thomas Lumley
Title: Bioconductor Case Studies, Author: Florian Hahne
Title: Nonlinear Regression with R, Author: Christian Ritz
Title: Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health, Author: Roger D. Peng
Title: Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving, Author: Deborah Nolan
Title: Lattice: Multivariate Data Visualization with R, Author: Deepayan Sarkar
Title: Time Series Analysis: With Applications in R, Author: Jonathan D. Cryer
Title: Analysis of Phylogenetics and Evolution with R, Author: Emmanuel Paradis
Title: Advanced Environmental Monitoring with Remote Sensing Time Series Data and R, Author: Alexandra Gemitzi
Title: Applied Econometrics with R, Author: Christian Kleiber

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