Probably because I first encountered them somewhat late in my professional life, I am fascinated by categorical data types. Without question, my favorite book on the subject is Alan Agresti’s Categorical Data Analysis (Wiley Series in Probabili...
Blog Archives
The Many Uses of Q-Q Plots
My last four posts have dealt with boxplots and some useful variations on that theme. Just after I finished the series, Tal Galili, who maintains the R-bloggers website, pointed me to a variant I hadn’t seen before. It's called a bee...
Boxplots & Beyond IV: Beanplots
This post is the last in a series of four on boxplots and some of their extensions. Previous posts in this series have discussed basic boxplots, modified boxplots based on a robust asymmetry measure, and violin plots, an alternative that essentia...
Boxplots and Beyond III: Violin Plots
This post is the third in a series of four on boxplots and closely related data visualization techniques for comparing subsets of a dataset, or comparing different datasets that we hope or expect to be similarly distributed. The previous two post...
Boxplots and Beyond – Part II: Asymmetry
In my last post, I discussed boxplots in their simplest forms, illustrating some of the useful options available with the boxplot command in the open-source statistical software package R. As I noted in that post, the basic boxplot is both useful...
Boxplots and Beyond – Part I
Boxplots are a simple and reasonably popular way of summarizing the range of variation of a real-valued variable across different subsets of data. Typical examples might include diastolic blood pressure across a group of patients, broken dow...
The Art of Exploratory Data Analysis
This blog is about the art of exploratory data analysis, which is also the subject of my new book, Exploring Data in Engineering, the Sciences, and Medicine (http://www.oup.com/us/ExploringData). This art is appropriate in situations where y...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
