by Paul Teetor Copyright 2011. I picked up this book with the intention of learning intermediate R. I was past the novice stage of learning the language, but I was still short of learning Advanced R. This book gave me the confidence to read R code more quickly and to understand more nuance in this (fun) language. This book is written by a quant (Wall Street data analyst) who has Masters degrees in both statistics…
by Hadley Wickham(c) 2016. This is another book that applies to one of my nascent passions: Statistical programming with R. This book brings forth the central visualization package in ggplot by its author Hadley Wickham. Like most of Hadley’s works, the book is meticulously researched and extremely clear. It is a winner in accomplishing its goals of introducing visualization in R. It even contains a short section on modeling in R. For those who don’t…
R for Data Scienceby Hadley Wickham and Garret Grolemund.(c) 2017. If the above quote is the mission of this book, consider the task accomplished. Where most books in computer science fall down in trying to be cute while communicating an educational message, this book addresses the task of education about R squarely, and it does so in a manner that engages the mind with interesting problems. Usually, I skip the exercises sections of most computer…
Essential Biostatistics: A Nonmathematical Approach by Harvey MotulskyFundamentals of Biostatistics by Bernard RosnerR for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham and Garrett GrolemundThe Art of R Programming: A Tour of Statistical Software Design by Norman MatloffFramingham Heart StudyA History of Public Health by George Rosen and Elizabeth FeePublic Health: A Very Short Introduction by Virginia BerridgeThe History of Global Health: Intervention into the Lives of Other Peoples by Randall M. Packard