AOH: Alcohol, Obesity and Hypertension: A Complete 4 * 3 * 2 Table

In conting: Bayesian Analysis of Contingency Tables

Description

491 subjects are cross-classified according to the three factors: hypertension (hyp; 2 levels), obesity (obe; 3 levels) and alcohol (alc; 4 levels). There are a total of 24 cells in the table.

Usage

data(AOH)

Format

A "data.frame" with 24 observations on the following 4 variables.

y

Counts in each cell of table.

alc

A factor with levels 0 1-2 3-5 6+ indicating the classification of alcohol intake of drinks per day.

obe

A factor with levels low average high indicating the classification of obesity.

hyp

A factor with levels yes no indicating the classification of hypertension.

Details

These data are from a study in Western Australia. The study copied a larger study from USA. See Knuiman & Speed (1988) for more details.

For details on the function bcct applied to these data, see Overstall & King (2014).

Source

Knuiman, M.W. & Speed, T.P. (1988) Incorporating Prior Information into the Analysis of Contingency Tables. Biometrics, 44 (4), 1061–1071.

References

Overstall, A.M. & King, R. (2014) conting: An R package for Bayesian analysis of complete and incomplete contingency tables. Journal of Statistical Software, 58 (7), 1–27. http://www.jstatsoft.org/v58/i07/

Examples

data(AOH)
summary(AOH)

Example output

       y          alc         obe     hyp    
 Min.   : 5.00   0  :6   low    :8   yes:12  
 1st Qu.: 9.75   1-2:6   average:8   no :12  
 Median :21.00   3-5:6   high   :8           
 Mean   :20.46   6+ :6                       
 3rd Qu.:29.25                               
 Max.   :40.00                               

conting documentation built on May 1, 2019, 8:47 p.m.