Abstract limma is an R/Bioconductor software package that provides an integrated solution
for analysing data from gene expression experiments. It contains rich features for handling …

More than 50 years ago, John Tukey called for a reformation of academic statistics. In “The
Future of Data Analysis,” he pointed to the existence of an as-yet unrecognized science …

The process of developing predictive models includes many stages. Most resources focus
on the modeling algorithms but neglect other critical aspects of the modeling process. This …

Many effects of interest to sociologists are nonlinear. Additionally, many effects of interest
are interaction effects—that is, the effect of one independent variable is contingent on the …

Predictor effect displays, introduced in this article, visualize the response surface of complex
regression models by averaging and conditioning, producing a sequence of 2D line graphs …

In many supervised learning applications, understanding and visualizing the effects of the
predictor variables on the predicted response is of paramount importance. A shortcoming of …

Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging (MRI)
technique used for studying microstructural changes in the white matter. As with many other …

Effective visualization is the best way to communicate information from the increasingly large
and complex datasets in the natural and social sciences. But with the increasing power of …

R is the most powerful tool you can use for statistical analysis. This definitive guide smooths
R's steep learning curve with practical solutions and real-world applications for commercial …

Learn How to Design Effective Visualization SystemsVisualization Analysis and Design
provides a systematic, comprehensive framework for thinking about visualization in terms of …