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 is aimed at students in media, communication, and information studies interested in working with digital media data usingR as a flexible and powerful framework. The book ...
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...
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 indispensible volume introduces second language scholars to the basics of statistical analysis using the powerful and free computer program R. Assuming no prior knowledge of s...
