inst/shinyApp/tabs/tab_heatmaps/server_heatmaps.R

In DanieleBizzarri/MiMIR: Metabolomics-Based Models for Imputing Risk

output$heat_predictors <- renderPlotly({
  tryCatch({
    res<-cor.assoc(predictors(),predictors(), colnames(predictors())[-1],colnames(predictors())[-1])
    heat<-plot.corply(res, main="Correlation of the Metabolic scores", reorder.x=TRUE, abs=F, 
                      resort_on_p= TRUE,reorder_dend=F)
  }, error = function(err) {
    return(met_NA())
  })
})