Server logic for the Figure Builder module

Powers the multi-panel Figure Builder module rendered by figureBuilderUI(). Users can add any VizModules plot module to a free-form A4 canvas, drag and resize each plot, filter each plot's data independently, label panels automatically, and export the whole figure as a single editable SVG (or bundle every plot's source data, HTML plot, and statistics into one .zip).

Usage

figureBuilderServer(id, data_list = NULL, module_registry = NULL)

Arguments

id: The ID for the Shiny module. Must match the id given to figureBuilderUI().
data_list: An optional named list of data frames that seed the dataset registry. If NULL (the default), the bundled example datasets (plus a sales_by_product summary suited to the pie plot) are used. At least one element is required and every element must be a data frame.
module_registry: An optional named list describing the plot modules to offer. If NULL (the default), all bundled VizModules modules are offered. Each entry is itself a list with components: label (character, shown in the picker), dataset (character, the dataset name its defaults were written for), inputs_ui, output_ui, and server_fn (the module's three functions), and defaults (a named list of input defaults applied only when dataset is the chosen dataset).

Value

Invisibly returns NULL; called for its side effects (wiring up the Figure Builder module's reactive logic).

Details

Call this from your app's server with the same id you passed to figureBuilderUI(). Because it is a proper Shiny module, several Figure Builders can coexist on one page, each with its own namespace and canvas.

Author

Jared Andrews

Examples

library(VizModules)
if (interactive()) {
    ui <- fluidPage(figureBuilderUI("figure_builder"))
    server <- function(input, output, session) {
        figureBuilderServer("figure_builder")
    }
    shinyApp(ui, server)
}