RShiny-app SurveyPrevRShiny

This RShiny app facilitates the mapping of health indicators prevalence using data from Demographic and Health Surveys (DHS). Powered by the R package SurveyPrev, our Shiny app revolutionizes the acquisition of prevalence estimates through Small Area Estimation (SAE) techniques. It is tailored for users of all backgrounds, enabling the performance of complex statistical analyses without prior knowledge.

The application streamlines the analytical process into clear, manageable steps. It guides users through model fitting and enhances their experience with interactive visualization tools. Users can dynamically explore the spatial distribution of health and demographic indicators and directly interpret statistical outputs within the app’s interface. Additionally, the application supports result exports, facilitating detailed examinations and sharing in both spreadsheet and graphical formats.

Please visit our official website for detailed documentation.

The Github repo maintains the source code for this RShiny application and it is structured as an R package. There are two primary venues to utilize this application:

1. Web-Based Version:

• Location: Deployed on an online server.
• Requirements: Internet access and a web browser.
• Usage: Ideal for users who prefer quick access without local setup.

2. Local R Package Installation:

• Location: on user’s machine, launched by RStudio.
• Requirements: R environment and dependent packages.
• Usage: Suitable for users who wish to run the application directly within their local R environment. This method allows for enhanced customization.

Web-based RShiny app

The RShiny app is readily accessible via https://rsc.stat.washington.edu/surveyPrevRShiny/. The only requirement is a stable internet connection. This web-based deployment supports full functionality and serves as the primary distribution channel.

This version uniquely includes preloaded shapefiles. If using other versions of the app, users will need to download or upload shapefiles manually; however, this process has been streamlined into simple steps for ease of use.

Installation of the RShiny app as a R package

Some non-CRAN dependencies can be installed using the following command. We strongly recommend installing the most recent version of SUMMER and surveyPrev package from Github.

# install.packages("devtools")
devtools::install_github("rspatial/geodata")
devtools::install_github("richardli/SUMMER")
devtools::install_github("richardli/surveyPrev")
devtools::install_github("statnmap/HatchedPolygons")
devtools::install_github("qianyu313/surveyPrevGithub")

install.packages("INLA",repos=c(getOption("repos"),
                        INLA="https://inla.r-inla-download.org/R/testing"),dep=TRUE)

You can then install the development version of saeforhealth with:

devtools::install_github("wu-thomas/SurveyPrevRShiny")

Our tool depends specifically on 2.12.0 version of the labelled package, so we make sure the correct version is used.

remotes::install_version("labelled", "2.12.0")

You can launch the RShiny app with the following command, and we recommend opening a new browser tab from within the launched RShiny app for better accessing web links.

library(SurveyPrevRShiny)
SurveyPrevRShiny::run_app()