The CardioDataSets package offers a diverse collection of datasets focused on heart and cardiovascular research. It covers topics such as heart disease, myocardial infarction, heart failure, aortic dissection, cardiovascular risk factors, clinical outcomes, drug effects, and mortality trends.
The package is designed for researchers, clinicians, epidemiologists, and data scientists. It includes clinical, epidemiological, simulated, and real-world datasets that enable exploration of disease progression, treatment efficacy, cardiovascular risk, and patient outcomes across various populations and contexts.
Installation
You can install the CardioDataSets package from CRAN with the following R function:
install.packages("CardioDataSets")Usage
After installation, load the CardioDataSets package and start exploring and using its functions and datasets.
Dataset Suffixes
Each dataset in the CardioDataSets package uses a suffix to denote the type of R object:
_df: A data frame
_tbl_df: A tibble
_ts: time series
_mtc_network: network meta-analysis
_matrix: A matrix
Example Datasets
Below are selected example datasets included in the CardioDataSets package:
heartdisease_tbl_df: Heart Disease Patients Clinical Data.
cardioRiskFactors_df: Cardiovascular Risk Factors.
emotion_heartrate_df: Study investigating how recalling anger affects heart rate.
Example Code:
# Load the package
library(CardioDataSets)
# List all datasets in the package
view_datasets()
# Load dataset
data("heartdisease_tbl_df")
# Preview the dataset
head(heartdisease_tbl_df)
# Open in Viewer
View(heartdisease_tbl_df)