Title: The Book of R: A First Course in Programming and Statistics, Author: Tilman M. Davies
Title: Biostatistics with R: An Introduction to Statistics Through Biological Data, Author: Babak Shahbaba
Title: R Projects For Dummies, Author: Joseph Schmuller
Title: R For Dummies, Author: Andrie de Vries
Title: Introductory Time Series with R, Author: Paul S.P. Cowpertwait
Title: Learning R: A Step-by-Step Function Guide to Data Analysis, Author: Richard Cotton
Title: The Art of R Programming: A Tour of Statistical Software Design, Author: Norman Matloff
Title: Bayesian Computation with R, Author: Jim Albert
Title: Parallel R: Data Analysis in the Distributed World, Author: Q. McCallum
Title: Analysis of Phylogenetics and Evolution with R, Author: Emmanuel Paradis
Title: Introductory Statistics with R, Author: Peter Dalgaard
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: R for Programmers: Advanced Techniques, Author: Dan Zhang
Title: Lattice: Multivariate Data Visualization with R, Author: Deepayan Sarkar
Title: Molecular Data Analysis Using R, Author: Csaba Ortutay
Title: Applied Surrogate Endpoint Evaluation Methods with SAS and R, Author: Ariel Alonso
Title: Introduction to Bioinformatics with R: A Practical Guide for Biologists, Author: Edward Curry
Title: Wavelet Methods in Statistics with R, Author: Guy Nason
Title: Applied Spatial Statistics and Econometrics: Data Analysis in R, Author: Katarzyna Kopczewska
Title: Time Series Analysis: With Applications in R, Author: Jonathan D. Cryer

Pagination Links