Title: The Book of R: A First Course in Programming and Statistics, Author: Tilman M. Davies
Title: R Projects For Dummies, Author: Joseph Schmuller
Title: R For Dummies, Author: Andrie de Vries
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: Introductory Time Series with R, Author: Paul S.P. Cowpertwait
Title: Biostatistics with R: An Introduction to Statistics Through Biological Data, Author: Babak Shahbaba
Title: Introductory Statistics with R, Author: Peter Dalgaard
Title: An Introduction to Data Science, Author: Jeffrey S. Saltz
Title: Statistics for Linguistics with R: A Practical Introduction, Author: Stefan Th. Gries
Title: Graphing Data with R: An Introduction, Author: John Hilfiger
Title: Applied Spatial Statistics and Econometrics: Data Analysis in R, Author: Katarzyna Kopczewska
Title: Data Manipulation with R, Author: Phil Spector
Title: Clinical Trial Optimization Using R, Author: Alex Dmitrienko
Title: Advanced Environmental Monitoring with Remote Sensing Time Series Data and R, Author: Alexandra Gemitzi
Title: Advances in Social Science Research Using R, Author: Hrishikesh D. Vinod
Title: Applied Econometrics with R, Author: Christian Kleiber
Title: Time Series Analysis: With Applications in R, Author: Jonathan D. Cryer
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: Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving, Author: Deborah Nolan

Pagination Links