profile_reactive <- reactive({
p <- MQanalyser::plot_profilely(dep = dep(),
centered = input$prof_centered,
intensity_type = input$IntensityType,
color = input$input_col_prof,
angle_labels = input$input_angle_samples,
selected_genes = input$plot_profile_table_rows_selected,
color_selected = input$input_col_sel,
alpha = input$profile_alpha,
plot = TRUE,
clear_selection = input$clear_selection,
prof_genes_de = input$prof_genes_de,
user_genes_de = user_genes_de(),
color_genes_de = input$input_col_prof_de)
return(p)
})
output$plot_profile <- renderPlotly(
plotly::ggplotly(
profile_reactive(),
tooltip = c('text')
)%>%
layout(height = 800, width = 1200)
)
output$plot_profile_table <- DT::renderDataTable({
if(input$clear_selection == TRUE){
DT::datatable(
MQanalyser::plot_profilely(
dep = dep(),
intensity_type = input$IntensityType,
color = NULL,
angle_labels = NULL,
selected_genes = NULL,
color_selected = NULL,
plot = FALSE),
selection = 0,
extensions = 'Scroller',
options = list(scrollY=500, scrollX=100)
)
}else{
DT::datatable(
MQanalyser::plot_profilely(
dep = dep(),
intensity_type = input$IntensityType,
color = NULL,
angle_labels = NULL,
selected_genes = NULL,
color_selected = NULL,
plot = FALSE),
extensions = 'Scroller',
options = list(scrollY=500, scrollX=100)
)
}
})
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