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: 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: Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS: Volume 1:Prelude and Static Models, Author: Marc Kéry
Title: Environmental and Ecological Statistics with R, Author: Song S. Qian
Title: Bayesian Computation with R, Author: Jim Albert
Title: Analysis of Phylogenetics and Evolution with R, Author: Emmanuel Paradis
Title: Introductory Statistics with R, Author: Peter Dalgaard
Title: Data Analysis and Graphics Using R: An Example-Based Approach, Author: John Maindonald
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: A Course in Statistics with R, Author: Prabhanjan N. Tattar
Title: Applied Statistical Genetics with R: For Population-based Association Studies, Author: Andrea S. Foulkes
Title: Applied Surrogate Endpoint Evaluation Methods with SAS and R, Author: Ariel Alonso
Title: Cytokines and the CNS, Author: Richard M. Ransohoff
Title: Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data, Author: Michael Friendly
Title: Introductory Adaptive Trial Designs: A Practical Guide with R, Author: Mark Chang
Title: Advanced Environmental Monitoring with Remote Sensing Time Series Data and R, Author: Alexandra Gemitzi
Title: R for Programmers: Advanced Techniques, Author: Dan Zhang
Title: Software for Data Analysis: Programming with R, Author: John Chambers

Pagination Links