Developer Guide for R Shiny Modules in geyser

R Package Developer Guide

Welcome to the R package Developer Guide for geyser (v0.7.2). This vignette documents the 5-function Shiny module architecture, namespace conventions, and module composition patterns used throughout the package.

5-Function Module Pattern

Every module in the geyser package adheres to a strict 5-function structure:

moduleNameInput(id): Generates input control widgets. Uses ns <- NS(id) for UI namespacing.
moduleNameOutput(id): Generates output display elements. Uses ns <- NS(id).
moduleNameUI(id): Combines Input and Output UI elements into a full layout panel.
moduleNameServer(id, dataset = reactive(faithful)): Implements server reactive logic inside moduleServer(id, function(input, output, session) {...}).
moduleNameApp(dataset = faithful): Standalone testing wrapper app returning a shinyApp(ui, server) instance.

Exported R Modules

Module	Source File	Purpose
`histApp()`	`R/histApp.R`	Base R graphics histogram
`gghistApp()`	`R/gghistApp.R`	ggplot2 histogram
`ggpointApp()`	`R/ggpointApp.R`	ggplot2 scatter plot
`datasetsApp()`	`R/datasetsApp.R`	Dataset selector (filters numeric cols)
`dataApp()`	`R/dataApp.R`	Interactive `DT` data table viewer
`rowsApp()`	`R/rowsApp.R`	Multi-module horizontal row container
`switchApp()`	`R/switchApp.R`	Dynamic module switcher
`wrapperApp()`	`R/wrapperApp.R`	Module wrapper demonstration

Development Workflow

# Load development package
devtools::load_all()

# Test a module standalone
histApp()

# Re-build package documentation
devtools::document()

For full hybrid repository architecture (including Python modules), see DEVELOPER.md in the repository root.