Module Server for Specification of Multiple Sample Variables

When multiple sample variables are used in a given module, then this wrapper makes it much easier to specify in the server function.

Usage

multiSampleVarSpecServer(inputIds, original_data, ...)

Arguments

inputIds

(character)
multiple input IDs corresponding to the different sample variables specified in the UI function.

original_data

(reactive SummarizedExperiment)
input experiment where the sample variables extracted via SummarizedExperiment::colData() should be eligible for selection.

...

additional arguments as documented in sampleVarSpecServer(), namely the mandatory experiment_name and the optional categorical_only, num_levels and label_modal_title. transformed_data and assign_lists should not be specified as they are already specified internally here.

Value

List with the final transformed experiment_data reactive and a list vars which contains the selected sample variables as reactives under their input ID.

Examples

if (FALSE) {
# In the server use:
sample_var_specs <- multiSampleVarSpecServer(
  inputIds = c("facet_var", "color_var"),
  experiment_name = reactive({
    input$experiment_name
  }),
  original_data = ori_data # nolint Please update the <ori_data>
)
# Then can extract the transformed data and selected variables later:
experiment_data <- sample_var_specs$experiment_data()
facet_var <- sample_var_specs$vars$facet_var()
color_var <- sample_var_specs$vars$color_var()
}