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R/launch_adepro.R
In adepro: A 'shiny' Application for the (Audio-)Visualization of Adverse Event Profiles
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"/>
<path class="st2" d="M444.8,632.2c-1.3,0-2.4,0.5-3.4,1.5s-1.5,2.1-1.5,3.4c0,1.3,0.5,2.4,1.5,3.4s2.1,1.5,3.4,1.5
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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.
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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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