This book explains how to create, customize, and share interactive web-friendly documents with R. It covers a range of topics, including how to create interactive visualizations, d...
This book provides a foundation for the application of methods for analyzing multivariate generalized linear mixed models using R. It covers the necessary background in GLMs, mixed...
From the very basics to linear models, this book provides a complete introduction to statistics, data analysis, and R for bioinformatics research and applications. It covers ANOVA,...
This book provides a systematic account of robust statistical methods, an area where the existing literature is dated, narrow, or treated in an overly theoretical manner. The autho...
The rmarkdown package has steadily evolved into a relatively complete ecosystem for authoring documents. This book provides a definitive guide to this ecosystem.
Trial simulations provide a very useful tool in planning and designing successful clinical trials. Because so many different variables go into the design, conduct, and outcome of a...
There are many methods for multiple testing adjustment and questions arise concerning when they should be used and how they may provide different results. This book focuses on mult...
This book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the R programming language to apply des...
Multivariate data analysis (MDA) is a standard course taught at graduate level in various departments, notably mathematics and statistics, but also epidemiology, social sciences, e...
