R/launch_adepro.R

Defines functions launch_adepro

Documented in launch_adepro

#' launch_adepro - Launches the AdEPro application
#'
#' @export
#'
#' @description
#' Starts the AdEPro application in the client's browser.
#'
#' @param host host link (defaults to the local machine "127.0.0.1")
#' @param port port number (randomly chosen unless specified as a certain number)
#' @param browser path to browser exe (defaults to standard browser)
#'
#' @keywords adepro
#'
#' @details Further information on how to use this application can be found in the vignette of this package.
#'
#' @examples
#' \dontrun{
#' ## Launch application on localhost (127.0.0.1)
#' ## -------------------------------------------
#' ## By default launch_adepro starts the application on localhost
#' ## and a randomly selected port (e.g. 9876), in which case you can connect
#' ## to the running application by navigating your browser to
#' ## http://localhost:9876.
#' launch_adepro()
#'
#' ## Launch application on a different host
#' ## --------------------------------------
#' ## You can also run the application on a different host
#' ## by specifying a hostname and port. Just make sure to
#' ## use an open port on your machine. Here "open" means
#' ## that the port should not be used by another service
#' ## and the port is opened by your firewall.
#' launch_adepro(host="your-hostname", port=8888)
#'
#'
#' ## Make the application available to your coworkers
#' ## ------------------------------------------------
#' ## within your local area network even without a
#' ## dedicated Shiny server. The value set through the
#' ## host argument says to accept any connection (not just from localhost).
#' ## Then take note of your local IP (if you are under linux,
#' ## you can see it through ifconfig). Say your IP is 192.168.1.70.
#' ## Your colleagues can use your app by inserting in the address
#' ## bar of their browser 192.168.1.70:8888, i.e. your IP followed
#' ## by : and the port number you selected.
#' launch_adepro(host="0.0.0.0", port=8888)
#'
#' ## Launch application on a different browser
#' ## ----------------------------------------
#' ## To run the shiny app on a different browser than your standard browser
#' ## use the "browser" argument to set the path to the respective .exe file.
#' launch_adepro(browser = "C:/Program Files/Mozilla Firefox/firefox.exe")
#'
#'
#' ## Running AdEPro on test data
#' ## ---------------------------
#' write.csv(ae_data, file=paste(tempdir(), "\\ae_data.csv", sep=""), row.names=FALSE)
#' write.csv(patient_data, file=paste(tempdir(), "\\patient_data.csv", sep=""), row.names=FALSE)
#' ## Load ae_data.csv and patient_data.csv in the Upload data panel after
#' ## launching the application.
#' }
#'
#' @import graphics
#' @import utils
#' @import shiny
#' @import shinyBS
#' @import MASS
#' @import audio
#' @import shape
#' @import Cairo
#' @return A shiny app
launch_adepro <- function(host = "127.0.0.1", port = NULL, browser=NULL) {

  ######################################################################################################
  ########################################## Server ####################################################
  ######################################################################################################

  options(shiny.usecairo = T)

  server <- shinyServer(function(input, output, session) {

    # Reactive variables:
    ae_data <- reactive({
      inFile <- input$ae_dat
      if (is.null(inFile)) return(NULL)
      data <- read.csv(inFile$datapath, header = TRUE, sep = ",", stringsAsFactors = T)
      return(data)
    })

    patient_data <- reactive({
      inFile <- input$patient_dat
      if (is.null(inFile)) return(NULL)
      data <- read.csv(inFile$datapath, header = TRUE, sep = ",", stringsAsFactors = T)
      ae_data <- ae_data()
      # add column in patient_data: ae_frequency - AE frequency
      data$ae_frequency <- numeric(nrow(data))
      for (i in 1:nrow(data)) {
        indices <- which(ae_data$patient == data$ps[i])
        data$ae_frequency[i] <- sum(ae_data$day_end[indices] - ae_data$day_start[indices] + rep(1, length(indices)))
      }
      return(data)
    })

    has_data <- reactive({
      return(!(is.null(ae_data) & is.null(patient_data)))
    })

    counts <- reactive({
      ae_data <- ae_data()
      dat <- ae_data[which(ae_data$ae == input$audio),]
      data <- ae_count(dat, patient_data())
      return(data)
    })

    global_params <- reactive({
      title <- as.character(unique(patient_data()$treat))
      globals <- set_global_params(ae_data(), patient_data(), title=title)
      return(globals)
    })

    patients <- reactive({
      global_params <- global_params()
      patient_data  <- patient_data()
      if(!is.null(input$sorting) && input$sorting != "randomization number") {
        colindex <- which(colnames(patient_data) == input$sorting)
        trt <- as.numeric(factor(patient_data$treat, levels = unique(patient_data$treat)))
        patient_data <- patient_data[order(trt,patient_data[,colindex]),] # sorting patients
      }
      patient_data  <- preproc_patients(patient_data, global_params$height)
      return(patient_data)
    })

    data_raw <- reactive({
      ae_data <- ae_data()
      Q <- initQ(ae_data)
      ae_data <- preproc_ae(ae_data)
      ae_data <- ae_data[which(Q[, as.numeric(input$type)]), ]
      return(ae_data)
    })

    data <- reactive({
      data <- data_raw()
      selected <- data_raw()$ae %in% input$var
      data <- data[selected, ]
      return(data)
    })

    ## Select all data before selected day
    ddata <- reactive({
      data <- data()
      selected <- data$day_end < input$day
      data <- data[selected, ]
      return(data)
    })

    data.sel <- reactive({
      data <- data()
      selected <- (data$day_start <= input$day) & (input$day <= data$day_end)
      data <- data[selected, ]
      return(data)
    })

    all_aes <- reactive({
      dat <- data_raw()
      ae_table <- sort(table(rep(dat$ae, dat$day_end - dat$day_start + 1)), decreasing = TRUE)
      ae_table <- ae_table[ae_table > 0]
      aes <- names(ae_table)
      return(aes)
    })

    # UI elements
    output$ae_select <- renderUI({
      if (is.null(ae_data()) | is.null(patient_data())) {
        return(NULL)
      }

      most_freq_aes <- head(all_aes(), 8)
      rare_ae <- all_aes()[length(all_aes())]
      trt <- levels(factor(patient_data()$treat))
      uiElement <- selectizeInput("var", label = "Choose Adverse Events for display (max. 8):", options  = list(maxItems = 8),
                                  choices  = all_aes(), selected = most_freq_aes, multiple = TRUE)
      uiElement2 <- selectInput("audio",
                                label = "Choose Adverse Event for audio:",
                                choices = all_aes(), selected = rare_ae)
      uiElement3 <- selectInput("sound1",
                                label = "Choose Treatment Group for first sound:",
                                choices = c("- none -", trt),
                                selected = "- none -")
      uiElement4 <- selectInput("sound2",
                                label = "Choose Treatment Group for second sound:",
                                choices = c("- none -", trt),
                                selected = "- none -")
      return(list(uiElement, uiElement2, uiElement3, uiElement4))
    })

    output$day_slider <- renderUI({
      if (is.null(ae_data()) | is.null(patient_data())) {
        return(NULL)
      }

      ae_data <- ae_data()
      day_max <- ifelse(length(ae_data$day_end)==0,
                        1, max(ae_data$day_end))
      uiElement <- sliderInput("day",
                               label = NULL,
                               min = 1,
                               max = day_max,
                               value = 1, step = 1,
                               animate = animationOptions(interval = 2000),
                               width = '100%')
      return(uiElement)
    })

    output$ae_type <- renderUI({
      if (is.null(ae_data()) | is.null(patient_data())) {
        return(NULL)
      }

      global_params <- global_params()
      uiElement <- selectizeInput("type",
                                  label = "Select type of Adverse Event:",
                                  choices  = global_params$AE_options,
                                  selected = 1)
      var_sort <- colnames(patient_data())[-c(1:4)] # variable names used for sorting
      uiElement2 <- selectInput("sorting",
                                  label = "Sort patients by:",
                                  choices = c("randomization number", var_sort),
                                  selected = "randomization number")
      return(list(uiElement, uiElement2))
    })

    output$file_upload <- renderUI({
      uiElement <- list(fileInput('ae_dat', 'Upload Adverse Event Data',
                                  accept = c(
                                    'text/csv',
                                    'text/comma-separated-values',
                                    'text/tab-separated-values',
                                    'text/plain',
                                    '.csv',
                                    '.tsv')),
                        fileInput('patient_dat', 'Upload Patient Data',
                                  accept = c(
                                    'text/csv',
                                    'text/comma-separated-values',
                                    'text/tab-separated-values',
                                    'text/plain',
                                    '.csv',
                                    '.tsv')))
      return(uiElement)
    })

    shiny::observeEvent(has_data(), ({
                          shinyBS::updateCollapse(session,
                                                  id = "collapse",
                                                  open = c(
                                                    "Modify data",
                                                    "Adverse Events for animation"))}))

    shiny::observeEvent(input$type, ({
                          shinyBS::updateCollapse(session,
                                                  id = "collapse",
                                                  open = "Adverse Events for animation")}))

    # plots:
    output$slice_plots <- renderPlot({
      if (is.null(ae_data()) | is.null(patient_data())) {
        return(NULL)
      }

      patients <- patients()
      global_params <- global_params()
      height <- global_params$height
      width  <- global_params$width
      xlines <- global_params$xlines
      ylines <- global_params$ylines
      plines <- global_params$plines[[1]]
      xval <- c(0, cumsum(plines)[-length(plines)]) + plines/2
      title <- as.character(unique(patients$treat))

      par(oma=c(0, 0, 0, 0), mar=c(0, 0, 0, 0))
      MASS::eqscplot(patients$X, patients$Y, tol = 0, axes = F,
                     xlab = "", ylab = "", main = "",
                     xlim = c(0, 2*sum(width)),
                     ylim = c(-2*height, 3), type = "n")
      text(x = xval, y = rep(1.5, length(xval)), labels = title, col = "#6b6b6b", cex = 2)
      if (length(input$var) > 0) {
        piecharts(i = input$day, aes = input$var,
                  ae_data = data.sel(),
                  d_data = ddata(),
                  patients,
                  xlines, ylines)
        counts <- counts()
        tf1 <- max(c(0, counts$freq[which(counts$day == input$day & counts$treat == input$sound1)]))
        tf2 <- max(c(0, counts$freq[which(counts$day == input$day & counts$treat == input$sound2)]))
        tone(tf1, tf2)
      }
    }, bg="#424242")

    output$plot_hoverinfo <- renderPrint({
      if (is.null(ae_data()) | is.null(patient_data())) {
        return(cat("Please upload your data using the 'Upload data' tab!"))
      }
      patients <- patients()
      global_params <- global_params()
      footnote <- global_params$footnote

      # proportion of TEAEs that have already started
      prop <- round(mean(ae_data()$day_start <= input$day) * 100, 0)

      info <- nearPoints(patients, input$plot_hover,
                         threshold = 30, maxpoints = 1,
                         xvar = "X", yvar = "Y")
      if(nrow(info) > 0) {
        info <- info[-c(2:4, length(info), length(info)-1)]
        pr <- paste("Subject ID:", info[1])
        if (ncol(info) == 2) {
          txt <- pr
        } else {
          pr2 <- sapply(2:(ncol(info)-1), function(x) paste(", ", colnames(info)[x], ": ", info[,x], sep = ""))
          txt <- paste(pr, pr2, sep="")
        }
      } else {
        txt <- footnote
      }
      cat(txt, paste(prop, "% of TEAEs have already started", sep=""), sep="\n")
    })

    output$legend <- renderPlot({
      if (is.null(ae_data()) | is.null(patient_data())) {
        return(NULL)
      } else {
        return(pie_legend(aes = input$var))
      }
    }, bg = "#383838")

    output$dayinfo <- renderPrint({
      if (is.null(ae_data()) & is.null(patient_data())) {
        return(cat(""))
      } else {
        cat(input$day)
      }
    })

  })


  ######################################################################################################
  ####################################### User Interface (UI) ##########################################
  ######################################################################################################

  ui <- shinyUI(fluidPage(
    ## CSS codes:
    tags$style(type = "text/css", "
               .recalculating {opacity: 1.0;}
               .irs-bar {width: 100%; height: 25px; background: #377eb8; border-top: 1px solid #377eb8; border-bottom: 1px solid #377eb8;}
               .irs-bar-edge {background: #377eb8; border: 1px solid #377eb8; height: 25px; border-radius: 5px; width: 20px;}
               .irs-line {border: 1px solid #377eb8; height: 25px; border-radius: 5px;}
               .irs-grid-text {font-family: 'arial'; color: black; bottom: 17px; z-index: 1;font-size:15px}
               .irs-grid-pol {display: none;}
               #.irs-max {font-family: 'arial'; color: #ffffff; height:15px; font-size:15px}
               #.irs-min {font-family: 'arial'; color: #ffffff; height:15px; font-size:15px}
               .irs-max {display:none}
               .irs-min {display:none}
               .irs-single {color:#ffffff; background:#e43157; height:20px; font-size:15px;}
               .irs-slider {width: 30px; height: 30px; top: 22px;}
               .panel-group.sbs-panel-group{position: absolute;width: 90%;}
               .panel.panel-default{background-color:#383838; color:#ffffff;border-color:#6b6b6b}
               .panel-heading{color:#ffffff;padding:0;}
               .panel-title{background:#383838; color:#ffffff;margin-top:10px;margin-bottom:10px;padding-left:5px}
               body {background-color: #424242; color: #6b6b6b}
               .panel-group.sbs-panel-group {position: absolute; width: 90%;}
               .panel.panel-default {background-color: #383838; color: #ffffff; border-color: #6b6b6b}
               .panel-heading {color: #ffffff; padding: 0;}
               .panel-title {background: #383838;color: #ffffff; margin-top: 10px; margin-bottom: 10px; padding-left: 5px}
               .myRow1 {background-color: #383838; height: 170px;}
               .myRow3 {background-color: #424242;}
               #dayinfo {background-color: #383838; color: #ffffff; border-color: #383838; font: Arial; font-size: 50px;}
               #plot_hoverinfo {background-color: #383838; color: #6b6b6b; border-color: #383838; font-size: 14px;}
               "),

    # Main panel
    mainPanel(
      fluidRow(class = "myRow1",
               column(2, br(),
                      shinyBS::bsCollapse(
                        shinyBS::bsCollapsePanel("Upload data", uiOutput("file_upload")),
                        shinyBS::bsCollapsePanel("Modify data", uiOutput("ae_type")),
                        shinyBS::bsCollapsePanel("Adverse Events for animation", uiOutput("ae_select")),
                        multiple = TRUE, id = "collapse")),
               column(5, br(),
                      uiOutput("day_slider"),
                      verbatimTextOutput("plot_hoverinfo")),
               column(1, br(),
                      verbatimTextOutput("dayinfo")),
               column(2,
                      plotOutput("legend", width = "200px", height = "130px")),
               column(2,
                      #img(src='adepro_small.png', align = "right", width = "115px", height = "80px")
                      tags$div(HTML('<?xml version="1.0" encoding="utf-8"?>
                                    <!-- Generator: Adobe Illustrator 21.0.2, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
                                    <svg version="1.1" id="Ebene_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
                                    viewBox="0 0 1080 1080" style="enable-background:new 0 0 1080 1080;width:230px;height:160px;" align="right" xml:space="preserve">
                                    <style type="text/css">
                                    .st0{fill-rule:evenodd;clip-rule:evenodd;fill:#377EB8;}
                                    .st1{fill-rule:evenodd;clip-rule:evenodd;fill:#E43157;}
                                    .st2{fill:#FFFFFF;}
                                    </style>
                                    <path class="st0" d="M547.7,321.2h28V664H219v-14C219,468.4,366.1,321.2,547.7,321.2z"/>
                                    <path class="st1" d="M583.4,758.8h-7.7v-94.8h98.7v3.9C674.4,718,633.6,758.8,583.4,758.8z"/>
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                                    </svg>')
                      ))
      ),
      fluidRow(class = "myRow3",
               plotOutput("slice_plots", height = "900px",
                          hover = hoverOpts(id ="plot_hover"))
      ),
      width = 12)
  ))

  ######################################################################################################
  ######################################### Run Shiny App  #############################################
  ######################################################################################################
  adepro_app <- shinyApp(ui = ui, server = server)
  if (!is.null(browser)) options(browser = browser)
  shiny::runApp(adepro_app, host = host, port = port)
}

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adepro documentation built on Feb. 9, 2018, 6:10 a.m.