A cross classified table with observational data from a Danish heart clinic. The response variable is CAD.
data(cad1)
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
cad1: Complete dataset, 236 cases. cad2: Incomplete dataset, 67 cases. Information on (some of) the variables Hyperchol, Smoker, Inherit is missing.
cad1: Complete dataset, 236 cases. cad2: Incomplete dataset, 67 cases. Information on (some of) the variables Hyperchol, Smoker, Inherit is missing.
H<U+00F8>jsgaard, S<U+00F8>ren 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
# NOT RUN {
data(cad1)
## maybe str(cad1) ; plot(cad1) ...
# }
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