An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical meth
This text presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data.
Khamboonruang, C., Thongcharoen, P., Robb, M., Michael, N., Kunasol, P., and Kim, J. (2009). Vaccination with ALVAC and AIDSVAX to ... Richert, B., Tokach, M., Goodband, R., and Nelssen, J. (1995). Assessing producer awareness of the ...
Researchers in fields ranging from biology and medicine to the social sciences, law, and economics regularly encounter variables that are discrete or categorical in nature.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun.
Edited R output follows: > library(VGAM) > fit
After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book.
Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book. This book focuses on statistical methods for the analysis of discrete failure times.
An Intermediate Course with Examples in S-Plus, R, and SAS Richard M. Heiberger, Burt Holland. (Steel and Torrie, 1960) Steel, R. G. D. and ... (Westfall and Rom, 1990) Westfall, P. H. and Rom, D. (1990). Bootstrap stepdown testing with ...
This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful.
The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach.