Title: R for Programmers: Advanced Techniques, Author: Dan Zhang
Title: Advances in Social Science Research Using R, Author: Hrishikesh D. Vinod
Title: Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving, Author: Deborah Nolan
Title: Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data, Author: Michael Friendly
Title: Introductory Statistics with R, Author: Peter Dalgaard
Title: Interactive Web-Based Data Visualization with R, plotly, and shiny, Author: Carson Sievert
Title: Wavelet Methods in Statistics with R, Author: Guy Nason
Title: Hidden Markov Models for Time Series: A Practical Introduction using R, Author: Walter Zucchini
Title: Statistics for Linguistics with R: A Practical Introduction, Author: Stefan Th. Gries
Title: Data Mining with R: Learning with Case Studies, Second Edition, Author: Luis Torgo
Title: Advanced R, Second Edition, Author: Hadley Wickham
Title: Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R, Author: Stefano Bonnini
Title: Complex Surveys: A Guide to Analysis Using R, Author: Thomas Lumley
Title: Clinical Trial Optimization Using R, Author: Alex Dmitrienko
Title: Cytokines and the CNS, Author: Richard M. Ransohoff
Title: Latent Variable Modeling with R, Author: W. Holmes Finch
Title: Environmental and Ecological Statistics with R, Author: Song S. Qian
Title: Foundations and Applications of Statistics, Author: Randall Pruim
Title: Introduction to R for Quantitative Finance, Author: Gergely Daroczi
Title: Computational Statistics: An Introduction to R, Author: Günther Sawitzki

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