This dataset, cardioRiskFactors_df, is a data frame containing information from a study investigating the association between uric acid and cardiovascular risk factors in developing countries. It includes data from 998 participants (474 men and 524 women) aged 25-64 years.
Usage
data(cardioRiskFactors_df)Format
A data frame with 998 observations and 14 variables:
- age
Age in years (integer)
- bmi
Body Mass Index in kg/m² (numeric)
- waisthip
Waist-to-hip ratio (numeric)
- smok
Smoking status (integer)
- choles
Total cholesterol in mg/dL (numeric)
- trig
Triglycerides in mg/dL (numeric)
- hdl
HDL cholesterol in mg/dL (numeric)
- ldl
LDL cholesterol in mg/dL (numeric)
- sys
Systolic blood pressure in mmHg (integer)
- dia
Diastolic blood pressure in mmHg (numeric)
- Uric
Uric acid level in mg/dL (integer)
- sex
Sex (integer)
- alco
Alcohol consumption (numeric)
- apoa
Apolipoprotein A in mg/dL (numeric)
Source
Data taken from the Rfit package version 0.27.0. Original study: Heritier S, Cantoni E, Copt S, Victoria-Feser M (2009). Robust Methods in Biostatistics. New York: John Wiley and Sons.
Details
The dataset name has been kept as 'cardioRiskFactors_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the CardioDataSets package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a standard data frame. The original content has not been modified in any way.