nmode's Git Repositories - Rnaught/blob - R/ui.R

   1 ui <- function() {
   2     shiny::fluidPage(
   3         # Title.
   4         shiny::titlePanel(shiny::HTML(paste0("Rnaught: An Estimation Suite for R", shiny::tags$sub("0")))),
   5
   6         # Sidebar layout.
   7         shiny::sidebarLayout(
   8             # Sidebar. Hidden if the 'About' tab is selected.
   9             shiny::conditionalPanel(condition="input.tabset != 'About'",
  10                 shiny::sidebarPanel(id="sidebar",
  11                     # Data tab sidebar.
  12                     shiny::conditionalPanel(condition="input.tabset == 'Data'",
  13                         shiny::h3("Enter data"),
  14                         # Data input method selection.
  15                         shiny::radioButtons(inputId="dataInputMethod", label="", choices=list("Manually"=1, "Upload a .csv file"=2, "Paste a .csv file"=3)),
  16                         # Option 1: Manual entry.
  17                         shiny::conditionalPanel(condition="input.dataInputMethod == '1'",
  18                             shiny::textInput(inputId="dataName", label="Dataset name"),
  19                             shiny::span(shiny::textOutput(outputId="dataNameWarn"), style="color: red;"),
  20                             shiny::fluidRow(
  21                                 shiny::column(8, shiny::textInput(inputId="dataCounts", label=shiny::HTML(paste0(
  22                                     "Case counts", shiny::tags$sup("[?]", title="Enter as a comma-separated list of positive integers, with at least two entries. Ex: 1,1,2,3,5,8"))))
  23                                 ),
  24                                 shiny::column(4, shiny::selectInput(inputId="dataUnits", label="Reporting frequency", choices=list("Daily", "Weekly")))
  25                             ),
  26                             shiny::span(shiny::textOutput(outputId="dataCountsWarn"), style="color: red;")
  27                         ),
  28                         # Option 2: Upload .csv file.
  29                         shiny::conditionalPanel(condition="input.dataInputMethod == '2'",
  30                             shiny::fileInput(inputId="dataUpload", label="", accept=c("text/csv", "text/comma-separated-values,text/plain", ".csv")),
  31                         ),
  32                         # Option 3: Paste .csv file.
  33                         shiny::conditionalPanel(condition="input.dataInputMethod == '3'",
  34                             shiny::textAreaInput(inputId="dataPaste", label="", rows=8, resize="none"),
  35                         ),
  36                         # Warning text for .csv upload / paste.
  37                         shiny::conditionalPanel(condition="['2', '3'].includes(input.dataInputMethod)",
  38                             shiny::span(shiny::textOutput(outputId="dataCSVWarn"), style="color: red;"),
  39                         ),
  40                         # Button to add data.
  41                         shiny::actionButton(inputId="addData", label="Add"),
  42                     ),
  43                     # Estimators tab sidebar (collapsable entries).
  44                     shiny::conditionalPanel(condition="input.tabset == 'Estimators'",
  45                         shiny::h3("Estimators"),
  46                         # WHITE & PANAGO (WP).
  47                         shiny::tags$details(
  48                             shiny::tags$summary(shiny::h4("White & Panago (WP)")),
  49                             shiny::p("This is a description of the method."),
  50                             shiny::br(),
  51                             shiny::radioButtons(inputId="serialWPKnown", label="Is the mean serial interval known?", inline=TRUE, choices=list("Yes"=1, "No"=2)),
  52                             # Known serial interval.
  53                             shiny::conditionalPanel(condition="input.serialWPKnown == '1'",
  54                                 shiny::fluidRow(
  55                                     shiny::column(8, shiny::textInput(inputId="serialWPInput", label="Mean Serial Interval")),
  56                                     shiny::column(4, shiny::selectInput(inputId="serialWPUnits", label="Time units", choices=list("Days", "Weeks")))
  57                                 ),
  58                                 shiny::span(shiny::textOutput(outputId="serialWPWarn"), style="color: red;")
  59                             ),
  60                             # Unknown serial interval.
  61                             shiny::conditionalPanel(condition="input.serialWPKnown == '2'",
  62                                 shiny::h5("Grid Search Parameters"),
  63                                 shiny::fluidRow(
  64                                     shiny::column(4, shiny::textInput(inputId="gridLengthInput", label="Grid length", value="100")),
  65                                     shiny::column(4, shiny::textInput(inputId="gridShapeInput", label="Max. shape", value="10")),
  66                                     shiny::column(4, shiny::textInput(inputId="gridScaleInput", label="Max. scale", value="10"))
  67                                 ),
  68                                 shiny::fluidRow(
  69                                     shiny::column(4, shiny::span(shiny::textOutput(outputId="gridLengthWarn"), style="color: red;")),
  70                                     shiny::column(4, shiny::span(shiny::textOutput(outputId="gridShapeWarn"), style="color: red;")),
  71                                     shiny::column(4, shiny::span(shiny::textOutput(outputId="gridScaleWarn"), style="color: red;"))
  72                                 )
  73                             ),
  74                             shiny::actionButton(inputId="addWP", label="Add")
  75                         ),
  76                         # SEQUENTIAL BAYES (seqB).
  77                         shiny::tags$details(
  78                             shiny::tags$summary(shiny::h4("Sequential Bayes (seqB)")),
  79                             shiny::p("This is a description of the method."),
  80                             shiny::br(),
  81                             shiny::fluidRow(
  82                                 shiny::column(8, shiny::textInput(inputId="serialseqBInput", label="Mean Serial Interval")),
  83                                 shiny::column(4, shiny::selectInput(inputId="serialseqBUnits", label="Time units", choices=list("Days", "Weeks")))
  84                             ),
  85                             shiny::span(shiny::textOutput(outputId="serialseqBWarn"), style="color: red;"),
  86                             shiny::textInput(inputId="kappaInput", label=shiny::HTML(paste0("Maximum value of the uniform prior",
  87                                 shiny::tags$sup("[?]", title="This describes the prior belief of R0, and should be set to a higher value if R0 is believed to be larger. (Default: 20)"))),
  88                                 value="20"
  89                             ),
  90                             shiny::span(shiny::textOutput(outputId="kappaWarn"), style="color: red;"),
  91                             shiny::actionButton(inputId="addseqB", label="Add")
  92                         ),
  93                         # INCIDENCE DECAY (ID).
  94                         shiny::tags$details(
  95                             shiny::tags$summary(shiny::h4("Incidence Decay (ID)")),
  96                             shiny::p("This is a description of the method."),
  97                             shiny::br(),
  98                             shiny::fluidRow(
  99                                 shiny::column(8, shiny::textInput(inputId="serialIDInput", label="Mean Serial Interval")),
 100                                 shiny::column(4, shiny::selectInput(inputId="serialIDUnits", label="Time units", choices=list("Days", "Weeks")))
 101                             ),
 102                             shiny::span(shiny::textOutput(outputId="serialIDWarn"), style="color: red;"),
 103                             shiny::actionButton(inputId="addID", label="Add")
 104                         ),
 105                         # INCIDENCE DECAY & EXPONENTIAL ADJUSTEMENT (IDEA).
 106                         shiny::tags$details(
 107                             shiny::tags$summary(shiny::h4("Incidence Decay and Exponential Adjustement (IDEA)")),
 108                             shiny::p("This is a description of the method."),
 109                             shiny::br(),
 110                             shiny::fluidRow(
 111                                 shiny::column(8, shiny::textInput(inputId="serialIDEAInput", label="Mean Serial Interval")),
 112                                 shiny::column(4, shiny::selectInput(inputId="serialIDEAUnits", label="Time units", choices=list("Days", "Weeks")))
 113                             ),
 114                             shiny::span(shiny::textOutput(outputId="serialIDEAWarn"), style="color: red;"),
 115                             shiny::actionButton(inputId="addIDEA", label="Add")
 116                         ),
 117                         shiny::tags$style(type="text/css", "summary { display: list-item; cursor: pointer; }"),
 118                         shiny::tags$style(type="text/css", "summary h4 { display: inline; }")
 119                     )
 120                 )
 121             ),
 122             # Main panel.
 123             shiny::mainPanel(id="main",
 124                 shiny::tabsetPanel(id="tabset", type="tabs",
 125                     shiny::tabPanel("About", shiny::br(), "Hello"),
 126                     shiny::tabPanel("Data", shiny::br(), shiny::dataTableOutput(outputId="dataTable"), shiny::tags$style(type="text/css", "#dataTable tfoot { display:none; }")),
 127                     shiny::tabPanel("Estimators", shiny::br(),
 128                         shiny::dataTableOutput(outputId="estTable"),
 129                         shiny::tags$style(type="text/css", "#estTable tfoot { display:none; }"),
 130                         shiny::downloadButton(outputId="downloadEst", label="Download table as .csv")
 131                     )
 132                 )
 133             )
 134         )
 135     )
 136 }