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Create an example Modular freqPlot Shiny Application

Source: R/dittoViz_freqPlot_module_app.R
dittoViz_freqPlotApp.Rd

This function generates a Shiny application with modular dittoViz::freqPlot() components. The app features a Data Import section for uploading data, a Data Table for filtering the active dataset, and a Plot area for configuring and displaying an interactive frequency plot.

Usage

dittoViz_freqPlotApp(
  data_list = NULL,
  defaults = NULL,
  hide.inputs = NULL,
  hide.tabs = NULL
)

Arguments

data_list

An optional named list of data frames. If NULL (the default), list("composition" = example_composition) is used as example data.

defaults

A named list of input IDs and their default values to apply on startup. An entry may also be a shiny::reactive() or shiny::reactiveVal() to have the input follow the parent app's state; see setup_reactive_defaults().

hide.inputs

A character vector of input IDs to hide. Their values are still initialized and used, but the controls are not shown in the UI.

hide.tabs

A character vector of tab names to hide. Inputs in these tabs are still initialized and used, but the controls are not shown in the UI.

Value

A Shiny app object.

Details

When data_list is not provided (or NULL), the app launches with example_composition as an example dataset, which has twelve donors nested inside two conditions - the shape dittoViz::freqPlot() needs to compare per-sample frequencies across groups.

This is a convenience wrapper around createModuleApp().

See also

dittoViz::freqPlot(), dittoViz_freqPlotInputsUI(), dittoViz_freqPlotOutputUI(), dittoViz_freqPlotServer()

Author

Jared Andrews

Examples

library(VizModules)
# Launch with default example data:
app <- dittoViz_freqPlotApp()
if (interactive()) runApp(app)

# Launch on the cell-type composition of each donor, split by disease state:
app2 <- dittoViz_freqPlotApp(
    defaults = list(
        var = "cell_type", sample.by = "sample", group.by = "condition"
    )
)
if (interactive()) runApp(app2)