README.md

In CardioDataSets: A Comprehensive Collection of Cardiovascular and Heart Disease Datasets

CardioDataSets

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)

CardioDataSets documentation built on June 8, 2025, 10:59 a.m.