inst/phewas_app/ui.R

library(shiny)
library(shinyjs)
library(dplyr)
library(DWHtools2)
library(plotly)
library(DT)

#options(java.parameters = "-Xmx4g")
options(shiny.sanitize.errors = FALSE)

# Define UI for application that draws a histogram
shinyUI(fluidPage(
  shinyjs::useShinyjs(),
  # Application title
  titlePanel("MultiWAS: Interactive characterization of cohorts"),
  
  # Sidebar with a slider input for number of bins 
  sidebarLayout(
    sidebarPanel(
      div(id = 'loading-content',
          em(id = 'waiting', '...Loading...')
          ),
      hidden(
        div(
          id = 'patients_selection',
          tags$h3(id = 'controls_title1', 'Patients selection'),
          uiOutput('controls_cases'),
          #uiOutput('control_type'),
          radioButtons(inputId = 'control_type',label = "Type of controls", choices= list(`Automatic matching`='match', `Cohort` = "cohort" )),
          uiOutput('controls_trigger'),
          textOutput('controls_none'),
          uiOutput('match_save'),
          uiOutput('match_save_title'),
          tags$hr(id='line1')
          ),
        div(
          id = 'files_upload',
          tags$h3('Data upload'),
          fileInput('patients_csv', 'Choose File for Patients (CSV)'),
          fileInput('concepts_csv', 'Choose File for UMLS concepts (CSV)'),
          fileInput('cim_csv', 'Choose File for ICD codes (CSV)'),
          fileInput('bio_csv', 'Choose File for Labtest results (CSV)')
        ),
        div(id = 'analysis_parameters',
          tags$h3(id = 'controls_title2','Analysis parameters'),
          checkboxGroupInput('sources', label='data sources', choices = list('free_text','bio','icd'), selected = c('free_text','bio','icd')),

          radioButtons('boot',label = "Bootstrap results", choices= list(`No`="FALSE", `Yes` = "TRUE" )),
          
          actionButton(
            inputId = "submit_loc",
            label = "Submit"),
          sliderInput("plot_height", "Plot Height", 200, 1200, 900),
          tags$hr(id='line2'),
          tags$h3(id = 'controls_title4','Export'),
          downloadButton("report", "Report \n(.html)"),
          downloadButton("result_data", "Result data \n(.RData)")
        )
      ),
      
      width = 2
    ),
    
    # Show a plot of the generated distribution
    mainPanel(
      uiOutput("panels")
      # tabsetPanel(
      #   tabPanel("Billing codes (ICD10)", uiOutput('cimtab'), fluidRow(column(12,DT::dataTableOutput('table_cim')))),
      #   tabPanel("Biological test results", uiOutput('biotab'), fluidRow(column(12,DT::dataTableOutput('table_bio')))),
      #   tabPanel("UMLS concepts from free text reports", uiOutput('conceptstab'), fluidRow(column(12,DT::dataTableOutput('table_concepts')))),
      #   tabPanel("Patients Description", DT::dataTableOutput('table_patients'))
      # )
    )
  )
))
aneuraz/multiWAS documentation built on July 29, 2017, 3:39 a.m.