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ui.R
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# @file Ui.R
#
# Copyright 2018 Observational Health Data Sciences and Informatics
#
# This file is part of PatientLevelPrediction
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
library(shiny)
library(plotly)
library(shinycssloaders)
library(shinydashboard)
ui <- shinydashboard::dashboardPage(skin = 'black',
shinydashboard::dashboardHeader(title = "Multiple PLP Viewer",
tags$li(div(img(src = 'logo.png',
title = "OHDSI PLP", height = "40px", width = "40px"),
style = "padding-top:0px; padding-bottom:0px;"),
class = "dropdown")
),
shinydashboard::dashboardSidebar(
shinydashboard::sidebarMenu(
shinydashboard::menuItem("Summary", tabName = "Summary", icon = shiny::icon("table")),
shinydashboard::menuItem("Performance", tabName = "Performance", icon = shiny::icon("bar-chart")),
shinydashboard::menuItem("Model", tabName = "Model", icon = shiny::icon("clipboard")),
shinydashboard::menuItem("Log", tabName = "Log", icon = shiny::icon("list")),
shinydashboard::menuItem("Help", tabName = "Help", icon = shiny::icon("info"))
)
),
shinydashboard::dashboardBody(
shinydashboard::tabItems(
# help tab
shinydashboard::tabItem(tabName = "Help",
shiny::h2("Information"),
shiny::p("Click on a row to explore the results for that model. When you wish to explore a different model, then select the new result row and the tabs will be updated."),
shiny::a("Demo Video", href = 'https://youtu.be/StpV40yl1UE', target='_blank')
),
# First tab content
shinydashboard::tabItem(tabName = "Summary",
shiny::fluidRow(
shiny::column(2,
shiny::h4('Filters'),
shiny::selectInput('devDatabase', 'Development Database', c('All',unique(as.character(allPerformance$devDatabase)))),
shiny::selectInput('valDatabase', 'Validation Database', c('All',unique(as.character(allPerformance$valDatabase)))),
shiny::selectInput('T', 'Target Cohort', c('All',unique(as.character(allPerformance$cohortName)))),
shiny::selectInput('O', 'Outcome Cohort', c('All',unique(as.character(allPerformance$outcomeName)))),
shiny::selectInput('riskWindowStart', 'Time-at-risk start:', c('All',unique(allPerformance$riskWindowStart))),
shiny::selectInput('riskWindowEnd', 'Time-at-risk end:', c('All',unique(as.character(allPerformance$riskWindowEnd)))),
shiny::selectInput('modelSettingName', 'Model:', c('All',unique(as.character(allPerformance$modelSettingName))))
),
shiny::column(10, style = "background-color:#F3FAFC;",
# do this inside tabs:
shiny::tabsetPanel(
shiny::tabPanel("Results",
shiny::div(DT::dataTableOutput('summaryTable'),
style = "font-size:70%")),
shiny::tabPanel("Model Settings",
shiny::h3('Model Settings: ',
shiny::a("help", href="https://ohdsi.github.io/PatientLevelPrediction/reference/index.html", target="_blank")
),
DT::dataTableOutput('modelTable')),
shiny::tabPanel("Population Settings",
shiny::h3('Population Settings: ',
shiny::a("help", href="https://ohdsi.github.io/PatientLevelPrediction/reference/createStudyPopulation.html", target="_blank")
),
DT::dataTableOutput('populationTable')),
shiny::tabPanel("Covariate Settings",
shiny::h3('Covariate Settings: ',
shiny::a("help", href="http://ohdsi.github.io/FeatureExtraction/reference/createCovariateSettings.html", target="_blank")
),
DT::dataTableOutput('covariateTable'))
)
)
)),
# second tab
shinydashboard::tabItem(tabName = "Performance",
shiny::fluidRow(
tabBox(
title = "Performance",
# The id lets us use input$tabset1 on the server to find the current tab
id = "tabset1", height = "100%", width='100%',
tabPanel("Summary",
shiny::fluidRow(
shiny::column(width = 4,
shinydashboard::box(width = 12,
title = tagList(shiny::icon("question"),"Prediction Question"), status = "info", solidHeader = TRUE,
shiny::textOutput('info')
),
shinydashboard::box(width = 12,
title = tagList(shiny::icon("gear"), "Input"),
status = "info", solidHeader = TRUE,
shiny::splitLayout(
cellWidths = c('5%', '90%', '5%'),
shiny::h5(' '),
shiny::sliderInput("slider1",
shiny::h4("Threshold value slider: ", strong(shiny::textOutput('threshold'))),
min = 1, max = 100, value = 50, ticks = F),
shiny::h5(' ')
),
shiny::splitLayout(
cellWidths = c('5%', '90%', '5%'),
shiny::h5(strong('0')),
shiny::h5(' '),
shiny::h5(strong('1'))
),
shiny::tags$script(shiny::HTML("
$(document).ready(function() {setTimeout(function() {
supElement = document.getElementById('slider1').parentElement;
$(supElement).find('span.irs-max, span.irs-min, span.irs-single, span.irs-from, span.irs-to').remove();
}, 50);})
"))
)
),
shiny::column(width = 8,
shinydashboard::box(width = 12,
title = "Dashboard",
status = "warning", solidHeader = TRUE,
shinydashboard::infoBoxOutput("performanceBoxThreshold"),
shinydashboard::infoBoxOutput("performanceBoxIncidence"),
shinydashboard::infoBoxOutput("performanceBoxPPV"),
shinydashboard::infoBoxOutput("performanceBoxSpecificity"),
shinydashboard::infoBoxOutput("performanceBoxSensitivity"),
shinydashboard::infoBoxOutput("performanceBoxNPV")
),
shinydashboard::box(width = 12,
title = "Cutoff Performance",
status = "warning", solidHeader = TRUE,
shiny::tableOutput('twobytwo')
#infoBoxOutput("performanceBox"),
)
)
)
),
tabPanel("Discrimination",
shiny::fluidRow(
shinydashboard::box( status = 'info',
title = "ROC Plot", solidHeader = TRUE,
shinycssloaders::withSpinner(plotly::plotlyOutput('roc'))),
shinydashboard::box(status = 'info',
title = "Precision recall plot", solidHeader = TRUE,
side = "right",
shinycssloaders::withSpinner(plotly::plotlyOutput('pr')))),
shiny::fluidRow(
shinydashboard::box(status = 'info',
title = "F1 Score Plot", solidHeader = TRUE,
shinycssloaders::withSpinner(plotly::plotlyOutput('f1'))),
shinydashboard::box(status = 'info',
title = "Box Plot", solidHeader = TRUE,
side = "right",
shinycssloaders::withSpinner(shiny::plotOutput('box')))),
shiny::fluidRow(
shinydashboard::box(status = 'info',
title = "Prediction Score Distribution", solidHeader = TRUE,
shinycssloaders::withSpinner(shiny::plotOutput('preddist'))),
shinydashboard::box(status = 'info',
title = "Preference Score Distribution", solidHeader = TRUE,
side = "right",
shinycssloaders::withSpinner(shiny::plotOutput('prefdist'))))
),
tabPanel("Calibration",
shiny::fluidRow(
shinydashboard::box(status = 'info',
title = "Calibration Plot", solidHeader = TRUE,
shinycssloaders::withSpinner(shiny::plotOutput('cal'))),
shinydashboard::box(status = 'info',
title = "Demographic Plot", solidHeader = TRUE,
side = "right",
shinycssloaders::withSpinner(shiny::plotOutput('demo')))
)
)
))),
# 3rd tab
shinydashboard::tabItem(tabName = "Model",
shiny::fluidRow(
shinydashboard::box( status = 'info',
title = "Binary", solidHeader = TRUE,
shinycssloaders::withSpinner(plotly::plotlyOutput('covariateSummaryBinary'))),
shinydashboard::box(status = 'info',
title = "Measurements", solidHeader = TRUE,
side = "right",
shinycssloaders::withSpinner(plotly::plotlyOutput('covariateSummaryMeasure')))),
shiny::fluidRow(width=12,
shinydashboard::box(status = 'info', width = 12,
title = "Model Table", solidHeader = TRUE,
shiny::downloadButton("downloadData", "Download Model"),
DT::dataTableOutput('modelView')))
),
# 4th tab
shinydashboard::tabItem(tabName = "Log",
shiny::verbatimTextOutput('log')
)
)
)
)