Discrete Data Analysis with R

Unlock the power of data analysis with Discrete Data Analysis with R by Michael Friendly, published in 2015. This comprehensive guide spans 564 pages and offers an applied treatment of modern graphical methods tailored for analyzing categorical data, including discrete response and frequency data.

Delve into the world of data processing as you explore innovative techniques for visualizing and modeling categorical and count data. Discrete Data Analysis with R equips advanced undergraduate and graduate students, as well as professionals, with the skills to effectively use graphical methods for data exploration, identifying unusual features, visualizing fitted models, and presenting results with clarity.

Enhance your understanding of data analysis and elevate your research with this essential resource, perfect for anyone looking to master the R programming language in the context of categorical data analysis.