regicor: REGICOR cross-sectional data

Description

These data come from 3 different cross-sectional surveys of individuals representative of the population from a north-west Spanish province (Girona), REGICOR study.

Usage

data(regicor)

Arguments

Format

A data frame with 2294 observations on the following 21 variables:

id: Individual id
year: a factor with levels 1995 2000 2005. Recruitment year
age: Patient age at recruitment date
sex: a factor with levels male female. Sex
smoker: a factor with levels Never smoker Current or former < 1y Never or former >= 1y. Smoking status
sbp: Systolic blood pressure
dbp: Diastolic blood pressure
histhtn: a factor with levels Yes No. History of hypertension
txhtn: a factor with levels No Yes. Hypertension (HTN) treatment
chol: Total cholesterol (mg/dl)
hdl: HDL cholesterol (mg/dl)
triglyc: Triglycerides (mg/dl)
ldl: LDL cholesterol (mg/dl)
histchol: a factor with levels Yes No. History of hypercholesterolemia
txchol: a factor with levels No Yes. Cholesterol treatment
height: Height (cm)
weight: Weight (Kg)
bmi: Body mass index
phyact: Physical activity (Kcal/week)
pcs: Physical component summary
mcs: Mental component summary
death: a factor with levels No Yes. Overall death
todeath: Days to overall death or end of follow-up
cv: a factor with levels No Yes. Cardiovascular event
tocv: Days to cardiovascular event or end of follow-up

Details

The variables collected in the REGICOR study were mainly cardiovascular risk factors (hundreds of variables were collected in the different questionnaires and blood measurements), but the variables present in this data set are just a few of them. Also, for reasons of confidentiality, the individuals in this data set are a 30% approx. random subsample of the original one.

Each variable of this data.frame contains label describing them in the attribute "label".

For more information, see the vignette.

Examples

Run this code

require(compareGroups)
data(regicor)
summary(regicor)

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