### VARIATION ANALYSIS TAB ###
## Update covariate options to only those that are not confounded with batch
observeEvent(input$variation_batch, {
req(reactivevalue$se, input$variation_batch)
covariate_choices <- covariates_not_confounded(reactivevalue$se,
input$variation_batch)
updateSelectizeInput(session = session, inputId = "variation_condition",
choices = covariate_choices, selected = NULL)
})
## Display variation and p-value plots and tables
observeEvent(input$variation, {
req(input$variation_batch,
input$variation_assay, reactivevalue$se)
withBusyIndicatorServer("variation", {
tryCatch({
if (is.null(input$variation_condition)) {
EV_results <- batchqc_explained_variation(se = reactivevalue$se,
batch = input$variation_batch,
assay_name = input$variation_assay)
} else {
EV_results <- batchqc_explained_variation(se = reactivevalue$se,
batch = input$variation_batch,
condition = input$variation_condition,
assay_name = input$variation_assay)
}
EV_ratios <- variation_ratios(EV_results$EV_table_ind,
input$variation_batch)
EV_residual_ratios <- variation_ratios(EV_results$EV_table_type2,
input$variation_batch)
})
output$EV_show_plot <- renderPlot({
EV_plotter(EV_results$EV_table_ind)
})
output$EV_show_table <- renderDataTable({
EV_table(EV_results$EV_table_ind)
})
output$EV_residual_show_plot <- renderPlot({
EV_plotter(EV_results$EV_table_type2)
})
output$EV_residual_show_table <- renderDataTable({
EV_table(EV_results$EV_table_type2)
})
output$EV_ratio_plot <- renderPlot({
ratio_plotter(EV_ratios)
})
output$EV_ratio_table <- renderDataTable({
EV_ratios
})
output$EV_residual_ratio_plot <- renderPlot({
ratio_plotter(EV_residual_ratios)
})
output$EV_residual_ratio_table <- renderDataTable({
EV_residual_ratios
})
})
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.