Package 'HIViz' reference manual

Package 'HIViz'

Title:	Interactive Dashboard for 'HIV' Data Visualization
Description:	An interactive 'Shiny' dashboard for visualizing and exploring key metrics related to HIV/AIDS, including prevalence, incidence, mortality, and treatment coverage. The dashboard is designed to work with a dataset containing specific columns with standardized names. These columns must be present in the input data for the app to function properly: year: Numeric year of the data (e.g. 2010, 2021); sex: Gender classification (e.g. Male, Female); age_group: Age bracket (e.g. 15–24, 25–34); hiv_prevalence: Estimated HIV prevalence percentage; hiv_incidence: Number of new HIV cases per year; aids_deaths: Total AIDS-related deaths; plhiv: Estimated number of people living with HIV; art_coverage: Percentage receiving antiretroviral therapy (ART); testing_coverage: HIV testing services coverage; causes: Description of likely HIV transmission cause (e.g. unprotected sex, drug use). The dataset structure must strictly follow this column naming convention for the dashboard to render correctly.
Authors:	Atefeh Rashidi Pour [aut, cre] (ORCID: <https://orcid.org/0009-0002-3834-3183>), Marzieh Rashidipour [aut] (ORCID: <https://orcid.org/0000-0003-4024-765X>)
Maintainer:	Atefeh Rashidi Pour <[email protected]>
License:	GPL-3
Version:	0.1.2
Built:	2026-05-19 08:06:17 UTC
Source:	https://github.com/atefehrashidi/hiviz

Title:

Interactive Dashboard for 'HIV' Data Visualization

Description:

An interactive 'Shiny' dashboard for visualizing and exploring key metrics related to HIV/AIDS, including prevalence, incidence, mortality, and treatment coverage. The dashboard is designed to work with a dataset containing specific columns with standardized names. These columns must be present in the input data for the app to function properly: year: Numeric year of the data (e.g. 2010, 2021); sex: Gender classification (e.g. Male, Female); age_group: Age bracket (e.g. 15–24, 25–34); hiv_prevalence: Estimated HIV prevalence percentage; hiv_incidence: Number of new HIV cases per year; aids_deaths: Total AIDS-related deaths; plhiv: Estimated number of people living with HIV; art_coverage: Percentage receiving antiretroviral therapy (ART); testing_coverage: HIV testing services coverage; causes: Description of likely HIV transmission cause (e.g. unprotected sex, drug use). The dataset structure must strictly follow this column naming convention for the dashboard to render correctly.

Authors:

Atefeh Rashidi Pour [aut, cre] (ORCID: <https://orcid.org/0009-0002-3834-3183>), Marzieh Rashidipour [aut] (ORCID: <https://orcid.org/0000-0003-4024-765X>)

Maintainer:

Atefeh Rashidi Pour <[email protected]>

License:

GPL-3

Version:

0.1.2

Built:

2026-05-19 08:06:17 UTC

Source:

https://github.com/atefehrashidi/hiviz

Help Index

Launch the HIViz Shiny App

Description

This function launches the Shiny application.

Usage

launchApp()
launchApp()

Value

Invisible NULL. Called for its side effects (launches the Shiny application in the default browser).

Examples

if (interactive()) {
  HIViz::launchApp()
}
if (interactive()) {
  HIViz::launchApp()
}

Sample HIV Epidemiology Dataset

Description

A small sample dataset for demonstrating the HIViz dashboard.

Usage

sample_data
sample_data

Format

A data frame with 3 rows and 10 variables:

country: e.g., Iran, Spain
year: Numeric year
sex: Gender (Male, Female)
age_group: Age group (e.g., "15–24")
hiv_prevalence: % Prevalence
hiv_incidence: New cases
aids_deaths: AIDS deaths
plhiv: People living with HIV
art_coverage: % ART coverage
testing_coverage: % Testing coverage
causes: Cause of transmission