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: Probability with R: An Introduction with Computer Science Applications, Author: Jane M. Horgan
Title: Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R, Author: Stefano Bonnini
Title: Interactive and Dynamic Graphics for Data Analysis: With R and GGobi, Author: Dianne Cook
Title: R IN FINANCE AND ECONOMICS: A BEGINNER'S GUIDE: A Beginner's Guide, Author: Abhay Kumar Singh
Title: Joint Species Distribution Modelling: With Applications in R, Author: Otso Ovaskainen
Title: Joint Species Distribution Modelling: With Applications in R, Author: Otso Ovaskainen
Title: Environmental and Ecological Statistics with R, Author: Song S. Qian
Title: Applied Statistical Genetics with R: For Population-based Association Studies, Author: Andrea S. Foulkes
Title: Data Mining Algorithms: Explained Using R, Author: Pawel Cichosz
Title: Graphics for Statistics and Data Analysis with R, Author: Kevin J. Keen
Title: Clinical Trial Optimization Using R, Author: Alex Dmitrienko
Title: Hidden Markov Models for Time Series: A Practical Introduction using R, Author: Walter Zucchini
Title: Latent Variable Modeling with R, Author: W. Holmes Finch
Title: Computational Statistics: An Introduction to R, Author: Günther Sawitzki
Title: Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, Author: Simon Munzert
Title: Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health, Author: Roger D. Peng
Title: Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data, Author: Michael Friendly
Title: Introductory Adaptive Trial Designs: A Practical Guide with R, Author: Mark Chang
Title: R and MATLAB, Author: David E. Hiebeler

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