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Title: A Course in Statistics with R, Author: Prabhanjan N. Tattar
Title: Data Mining Algorithms: Explained Using R, Author: Pawel Cichosz
Title: Flexible Regression and Smoothing: Using GAMLSS in R, Author: Mikis D. Stasinopoulos
Title: Numerical Analysis Using R: Solutions to ODEs and PDEs, Author: Graham W. Griffiths
Title: Introduction to Bioinformatics with R: A Practical Guide for Biologists, Author: Edward Curry
Title: R and MATLAB, Author: David E. Hiebeler
Title: Latent Variable Modeling with R, Author: W. Holmes Finch
Title: Joint Species Distribution Modelling: With Applications in R, Author: Otso Ovaskainen
Title: Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health, Author: Roger D. Peng
Title: Interactive Web-Based Data Visualization with R, plotly, and shiny, Author: Carson Sievert
Title: Generalized Additive Models: An Introduction with R, Second Edition, Author: Simon N. Wood
Title: R for Programmers: Advanced Techniques, Author: Dan Zhang
Title: A Course in Statistics with R, Author: Prabhanjan N. Tattar
Title: Statistics for Linguistics with R: A Practical Introduction, Author: Stefan Th. Gries
Title: Lattice: Multivariate Data Visualization with R, Author: Deepayan Sarkar
Title: Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences, Author: Robert B. Gramacy
Title: Bayesian Essentials with R, Author: Jean-Michel Marin
Title: An Introduction to Statistical Inference and Its Applications with R, Author: Michael W. Trosset
Title: R Primer, Author: Claus Thorn Ekstrom
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