Introduction to DataSetsVerse"

In DataSetsVerse: A Metapackage for Thematic and Domain-Specific Datasets

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(DataSetsVerse)

Introduction to DataSetsVerse

The DataSetsVerse is a metapackage that brings together a curated collection of R packages containing domain-specific datasets. It includes time series data, educational metrics, crime records, medical datasets, and oncology research data.

Designed to provide researchers, analysts, educators, and data scientists with centralized access to structured and well-documented datasets, this metapackage facilitates:

• Reproducible research

• Data exploration

• Teaching applications

across a wide range of domains.

Installation

To install the DataSetsVerse package, use the following:

# Install from CRAN 
install.packages("DataSetsVerse")

# Then load the package:
library(DataSetsVerse)

Using the DataSetsVerse() Function

Once the package is loaded, you can call the DataSetsVerse() function to display the list of included dataset packages and their versions:

DataSetsVerse()

Important Note on Detaching Packages

DataSetsVerse imports and depends on several subpackages. Therefore, you cannot detach an individual subpackage (like OncoDataSets) while DataSetsVerse is still loaded.

Example of an Error

# This will raise an error
detach("package:OncoDataSets", unload = TRUE)

Correct Way to Detach

To properly unload a subpackage, you must first detach DataSetsVerse:

# First detach the metapackage
detach("package:DataSetsVerse", unload = TRUE)

# Now you can safely detach the subpackage
detach("package:OncoDataSets", unload = TRUE)

By installing the DataSetsVerse package this will attach the following packages to your R session:

• timeSeriesDataSets

• educationR

• crimedatasets

• MedDataSets

• OncoDataSets

Included Packages

timeSeriesDataSets

A comprehensive collection of time series datasets from multiple domains including:

• Economics

• Finance

• Energy

• Healthcare

Each dataset includes a suffix to denote its structure. Examples:

AirPassengers_ts: Monthly airline passengers (1949–1960)

taylor_30_min_df_ts: Half-hourly electricity demand

educationR

• Contains datasets related to:

• Student performance

• Learning methods

• Test scores

• Absenteeism

Each dataset includes a suffix to denote its structure. Examples:

Develop_tbl_df: Dev Students: 2-Year & 4-Year College Demographics

Devmath_tbl_df: Fall '95 Developmental Math: Failed Student Scores

crimedatasets

• Focuses exclusively on:

• Crimes and criminal activities

• Criminology

• Socio-economic analysis related to crime

Each dataset includes a suffix to denote its structure. Examples:

TerrorismGlobal_table: Global Terrorism Database (GTD) Yearly Summaries

USATerror_data_df: Terrorism Incidents in the USA (1968-1974)

MedDataSets

Medical datasets covering:

• Drug effectiveness

• Vaccine trials

• Survival rates

• Public health and treatments

Each dataset includes a suffix to denote its structure. Examples:

Aids2_df: Australian AIDS Survival Data

Cushings_df: Diagnostic Tests on Patients with Cushing's Syndrome

OncoDataSets

Provides rich datasets focused on cancer research, including:

• Survival rates

• Genetic studies

• Biomarkers

Cancer types (melanoma, leukemia, breast, ovarian, lung, etc.)

Each dataset includes a suffix to denote its structure. Examples:

UKLungCancerDeaths_df: Lung Cancer Deaths among UK Physicians

USCancerStats_df: US Cancer Incidence, Mortality, and Survival Changes

Summary of Included Packages

| Package | Domain | Example Datasets | |------------------|-------------------|-----------------------------------| | timeSeriesDataSets | Time Series | AirPassengers_ts, taylor_30_min_df_ts | | educationR | Education | Develop_tbl_df, Devmath_tbl_df | | crimedatasets | Criminology | TerrorismGlobal_table, USATerror_data_df | | MedDataSets | Medical Research | Aids2_df, Cushings_df | | OncoDataSets | Oncology | UKLungCancerDeaths_df, USCancerStats_df |

Conclusion

The DataSetsVerse provides a unified framework for accessing diverse, domain-specific datasets in R. Whether you're working in education, healthcare, criminology, or cancer research, this metapackage helps streamline your data workflow. For more details and full documentation of each package, please refer to the reference manual and help files included with the package.

DataSetsVerse documentation built on June 8, 2025, 12:08 p.m.