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...
Text mining is a relatively new area that has seen a recent explosion in interest. It uses techniques from statistics, data mining and computer science and there is a need for a bo...
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...
This book shows the elements of statistical science that are highly relevant for students who plan to become data scientists. However, most of the content focuses on the statistica...
The intended audience is leaders at financial institutions who want to build data science practices, analysts at financial institutions who want to work on data science teams, stud...
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.
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...
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...
