### PCA TAB ###
## Plot PCA
observeEvent(input$PCA_plot, {
req(reactivevalue$se)
validate(need(input$top_n_PCA <= dim(reactivevalue$se)[1] &&
input$top_n_PCA > 1, "Please select a value for the top
variable features to use that falls within 2 and the size of
your dataset"))
assays <- input$pca_assays
msg <- sprintf('Generating plot for: %s...', paste(assays, collapse = ', '))
withProgress(message = msg, {
results <- PCA_plotter(reactivevalue$se,
input$top_n_PCA,
input$variates_color,
input$variates_shape,
assays,
input$firstPC,
input$secondPC,
input$log_option)
setProgress(.8, 'Displaying figure...')
output$PCA <- renderPlot({
validate(need(input$top_n_PCA <= dim(reactivevalue$se)[1] &&
input$top_n_PCA > 1, "Please select a value for the top
variable features to use that falls within 2 and the size of
your dataset"))
results$plot})
output$var_explained <- renderTable(
results$var_explained, rownames = TRUE, digits = 4)
setProgress(1, 'Complete.')
})
})
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