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 ...
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...
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...
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...
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,...
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...
