ipred (version 0.9-1)

GlaucomaM: Glaucoma Database

Description

The GlaucomaM data has 196 observations in two classes. 62 variables are derived from a confocal laser scanning image of the optic nerve head, describing its morphology. Observations are from normal and glaucomatous eyes, respectively.

Usage

data("GlaucomaM")

source

Torsten Hothorn and Berthold Lausen (2003), Double-Bagging: Combining classifiers by bootstrap aggregation. Pattern Recognition, 36(6), 1303--1309.

Details

All variables are derived from a laser scanning image of the eye background taken by the Heidelberg Retina Tomograph. Most of the variables describe either the area or volume in certain parts of the papilla and are measured in four sectors (temporal, superior, nasal and inferior) as well as for the whole papilla (global). The global measurement is, roughly, the sum of the measurements taken in the four sector.

The observations in both groups are matched by age and sex to prevent any bias.

Examples

data(GlaucomaM)
errorest(Class ~ ., data=GlaucomaM, model=rpart, 
         predict=function(obj, newdata) 
                   predict(obj, newdata, type="class"), 
         control=rpart.control(xval=0))
glbagg <- bagging(Class ~ ., data=GlaucomaM, coob=TRUE)
glbagg