Title: Applied Biclustering Methods for Big and High-Dimensional Data Using R / Edition 1, Author: Adetayo Kasim
Title: Introduction to Stochastic Processes with R / Edition 1, Author: Robert P. Dobrow
Title: Probability with R: An Introduction with Computer Science Applications / Edition 1, Author: Jane M. Horgan
Title: Data Mining and Business Analytics with R / Edition 1, Author: Johannes Ledolter
Title: Bayesian Essentials with R, Author: Jean-Michel Marin
Title: Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences / Edition 1, Author: Robert B. Gramacy
Title: Clinical Trial Data Analysis Using R and SAS / Edition 2, Author: Ding-Geng (Din) Chen
Title: Applied Time Series Analysis with R / Edition 2, Author: Wayne A. Woodward
Title: Statistics for Linguistics with R: A Practical Introduction / Edition 1, Author: Stefan Th. Gries
Title: An Introduction to Analysis of Financial Data with R / Edition 1, Author: Ruey S. Tsay
Title: Probability: With Applications and R / Edition 1, Author: Robert P. Dobrow
Title: Multivariate Time Series Analysis: With R and Financial Applications / Edition 1, Author: Ruey S. Tsay
Title: Mixed Effects Models and Extensions in Ecology with R / Edition 1, Author: Alain Zuur
Title: Statistical Modelling in R, Author: Murray Aitkin
Title: Comparative Approaches to Using R and Python for Statistical Data Analysis, Author: Rui Sarmento
Title: R for Programmers: Advanced Techniques, Author: Dan Zhang
Title: Introduction to Data Analysis with R for Forensic Scientists / Edition 1, Author: James Michael Curran
Title: Applied Spatial Statistics and Econometrics: Data Analysis in R / Edition 1, Author: Katarzyna Kopczewska
Title: Software for Data Analysis: Programming with R / Edition 1, Author: John Chambers
Title: Correspondence Analysis and Data Coding with Java and R / Edition 1, Author: Fionn Murtagh

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