inst/shiny/server.R

In soilcarbon: Tools to Analyze Soil Carbon Database Created by Powell Center Working Group

library(ggplot2)

shinyServer(function(input, output, session) {
  options(shiny.maxRequestSize=30*1024^2)
  output$plot <- renderPlot({

    variables<-list(
    y_var=input$y_var,
    x_var=input$x_var,
    size_var=input$size_var,
    col_var=input$col_var,
    col_facet_var=input$col_facet_var,
    row_facet_var=input$row_facet_var
    )
    variables[which(variables=="NULL")]<-NULL

    plot_data<-na.omit(soilcarbon_database[,unlist(variables)])
    plot_data$facet_cut<-""
    plot_data$facet_cut2<-""
    col_facet_thresh<-NA
    row_facet_thresh<-NA

    if ((input$col_facet_thresh != "" & !is.null(variables$col_facet_var))){
      col_facet_thresh<-as.numeric(input$col_facet_thresh)
      plot_data$facet_cut<-plot_data[,variables$col_facet_var] < col_facet_thresh
      plot_data$facet_cut[which(plot_data$facet_cut)]<-paste(variables$col_facet_var, " < ", col_facet_thresh)
      plot_data$facet_cut[which(plot_data$facet_cut==F)]<-paste(variables$col_facet_var, " > ", col_facet_thresh)
    }

    if ((input$row_facet_thresh != "" & !is.null(variables$row_facet_var))){
      row_facet_thresh<-as.numeric(input$row_facet_thresh)
      plot_data$facet_cut2<-plot_data[,variables$row_facet_var] < row_facet_thresh
      plot_data$facet_cut2[which(plot_data$facet_cut2)]<-paste(variables$row_facet_var, " < ", row_facet_thresh)
      plot_data$facet_cut2[which(plot_data$facet_cut2==F)]<-paste(variables$row_facet_var, " > ", row_facet_thresh)
    }

    if(is.null(variables$y_var)){
      p<-ggplot(plot_data, aes_string(x=variables$x_var,  col=variables$col_var))+
        geom_histogram(bins = 30)+
        facet_grid(facet_cut2~facet_cut)+
        scale_colour_gradient(low="dodgerblue", high="orange")+
        theme_light(base_size = 16)+
        theme(strip.background = element_blank())+
        theme(strip.text = element_text(colour = 'black'))
      p
    }else{
      p<-ggplot(plot_data, aes_string(x=variables$x_var, y=variables$y_var, col=variables$col_var))+
        facet_grid(facet_cut2~facet_cut)+
        scale_colour_gradient(low="dodgerblue", high="orange")+
        theme_light(base_size = 16)+
        theme(strip.background = element_blank())+
        theme(strip.text = element_text(colour = 'black'))
      if(variables$y_var=="layer_top" | variables$y_var=="layer_bot"){
        p<-p+scale_y_reverse()
      }
    if(is.null(variables$size)){
      p<-p+geom_point(alpha=input$alpha, size=2)
      }else
    p<-p+geom_point(alpha=input$alpha, aes_string(size=variables$size_var))+ scale_size_continuous(range = c(1, 10))
    }
    print(p)

  })

  output$download_database<-downloadHandler(
    filename = "soilcarbon_Database.csv",
    content = function(file) {
      write.csv(soilcarbon_database, file)
    }
  )


#### add data

  output$download_template<-downloadHandler(
    filename = "soilcarbon_master_template.xlsx",
    content = function(file) {
      template_file <- system.file("extdata", "Master_template.xlsx", package = "soilcarbon")
      file.copy(from=template_file, to=file)
    }
)



    observe({
      input$upload

      output$fileUploaded <- reactive({
        return(!is.null(input$upload))
      })

      outputOptions(output, 'fileUploaded', suspendWhenHidden=FALSE)

      output$download_dataqc<-downloadHandler(
        filename = paste0(gsub(".xlsx","",input$upload$name), "_QC_report.txt"),
        content = function(file) {
          dataset=read.soilcarbon(input$upload$datapath)
          dataQC(dataset, writeQCreport=T, outfile = file)
        } )

      session$sendCustomMessage(type = "resetFileInputHandler", 'upload')
    })


})