CardioRiskFactors | R Documentation |
Data from a study to investigate assocation between uric acid and various cardiovascular risk factors in developing countries (Heritier et. al. 2009). There are 474 men and 524 women aged 25-64.
data(CardioRiskFactors)
A data frame with 998 observations on the following 14 variables.
age
Age of subject
bmi
Body Mass Index
waisthip
waist/hip ratio(?)
smok
indicator for regular smoker
choles
total cholesterol
trig
triglycerides level in body fat
hdl
high-density lipoprotien(?)
ldl
low-density lipoprotein
sys
systolic blood pressure
dia
diastolic blood pressure(?)
Uric
serum uric
sex
indicator for male
alco
alcohol intake (mL/day)
apoa
apoprotein A
Data set and description taken from Heritier et. al. (2009) (c.f. Conen et. al. 2004).
Heritier, S., Cantoni, E., Copt, S., and Victoria-Feser, M. (2009), Robust Methods in Biostatistics, New York: John Wiley and Sons.
Conen, D., Wietlisbach, V., Bovet, P., Shamlaye, C., Riesen, W., Paccaud, F., and Burnier, M. (2004), Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health.
data(CardioRiskFactors)
fitF<-rfit(Uric~bmi+sys+choles+ldl+sex+smok+alco+apoa+trig+age,data=CardioRiskFactors)
fitR<-rfit(Uric~bmi+sys+choles+ldl+sex,data=CardioRiskFactors)
drop.test(fitF,fitR)
summary(fitR)
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