cardioRiskFactors_df | R Documentation |
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.
data(cardioRiskFactors_df)
A data frame with 998 observations and 14 variables:
Age in years (integer)
Body Mass Index in kg/m² (numeric)
Waist-to-hip ratio (numeric)
Smoking status (integer)
Total cholesterol in mg/dL (numeric)
Triglycerides in mg/dL (numeric)
HDL cholesterol in mg/dL (numeric)
LDL cholesterol in mg/dL (numeric)
Systolic blood pressure in mmHg (integer)
Diastolic blood pressure in mmHg (numeric)
Uric acid level in mg/dL (integer)
Sex (integer)
Alcohol consumption (numeric)
Apolipoprotein A in mg/dL (numeric)
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.
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.
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