Title: Introductory Time Series with R / Edition 1, Author: Paul S.P. Cowpertwait
Title: Latent Variable Modeling with R / Edition 1, Author: W. Holmes Finch
Title: Cytokines and the CNS / Edition 2, Author: Richard M. Ransohoff
Title: An Introduction to Data Science / Edition 1, Author: Jeffrey S. Saltz
Title: Statistics: An Introduction Using R / Edition 2, Author: Michael J. Crawley
Title: Quantitative Methods in Archaeology Using R, Author: David L. Carlson
Title: Wavelet Methods in Statistics with R / Edition 1, Author: Guy Nason
Title: R in Action: Data Analysis and Graphics with R / Edition 2, Author: Rob Kabacoff
Title: Introductory Statistics with R / Edition 2, Author: Peter Dalgaard
Title: Analysis of Phylogenetics and Evolution with R / Edition 2, Author: Emmanuel Paradis
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: Molecular Data Analysis Using R / Edition 1, Author: Csaba Ortutay
Title: Lattice: Multivariate Data Visualization with R / Edition 1, Author: Deepayan Sarkar
Title: Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R / Edition 1, Author: Gabriel Valiente
Title: R Primer / Edition 2, Author: Claus Thorn Ekstrom
Title: Introductory Adaptive Trial Designs: A Practical Guide with R / Edition 1, Author: Mark Chang
Title: Data Manipulation with R / Edition 1, Author: Phil Spector
Title: Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health / Edition 1, Author: Roger D. Peng
Title: Analysis of Integrated and Cointegrated Time Series with R / Edition 2, Author: Bernhard Pfaff
Title: A Modern Approach to Regression with R / Edition 1, Author: Simon Sheather

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