Learn R Programming

gRbase (version 1.7-5)

cad: Coronary artery disease data

Description

A cross classified table with observational data from a Danish heart clinic. The response variable is CAD.

Usage

data(cad1)

Arguments

Format

A data frame with 236 observations on the following 14 variables.
Sex
a factor with levels Female Male
AngPec
a factor with levels Atypical None Typical
AMI
a factor with levels Definite NotCertain
QWave
a factor with levels No Yes
QWavecode
a factor with levels Nonusable Usable
STcode
a factor with levels Nonusable Usable
STchange
a factor with levels No Yes
SuffHeartF
a factor with levels No Yes
Hypertrophi
a factor with levels No Yes
Hyperchol
a factor with levels No Yes
Smoker
a factor with levels No Yes
Inherit
a factor with levels No Yes
Heartfail
a factor with levels No Yes
CAD
a factor with levels No Yes

Details

cad1: Complete dataset, 236 cases. cad2: Incomplete dataset, 67 cases. Information on (some of) the variables Hyperchol, Smoker, Inherit is missing.

References

Hjsgaard, Sren and Thiesson, Bo (1995). BIFROST - Block recursive models Induced From Relevant knowledge, Observations and Statistical Techniques. Computational Statistics and Data Analysis, vol. 19, p. 155-175

Hansen, J. F. (1980). The clinical diagnoisis of ichaeme heart disease du to coronary artery disease. Danish Medical Bulletin

Examples

Run this code
data(cad1)
## maybe str(cad1) ; plot(cad1) ...

Run the code above in your browser using DataLab