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

   1 ui <- shiny::fluidPage(
   2   # Title.
   3   shiny::titlePanel(shiny::HTML(
   4     paste0("Rnaught: An Estimation Suite for R", shiny::tags$sub("0")))),
   5   # Sidebar layout.
   6   shiny::sidebarLayout(
   7     # Sidebar. Hidden if the 'About' tab is selected.
   8     shiny::conditionalPanel(condition = "input.tabset != 'About'",
   9       shiny::sidebarPanel(id = "sidebar",
  10         # Data tab sidebar.
  11         shiny::conditionalPanel(condition = "input.tabset == 'Data'",
  12           shiny::h3("Enter data"),
  13           # Data input method selection.
  14           shiny::radioButtons(inputId = "dataInputMethod", label = "",
  15             choices=list("Manually" = 1, "Upload a .csv file" = 2,
  16                          "Paste a .csv file" = 3)),
  17           # Option 1: Manual entry.
  18           shiny::conditionalPanel(condition = "input.dataInputMethod == '1'",
  19             shiny::textInput(inputId = "dataName", label = "Dataset name"),
  20             shiny::span(shiny::textOutput(outputId = "dataNameWarn"),
  21                         style = "color: red;"),
  22             shiny::fluidRow(
  23               shiny::column(8,
  24                 shiny::textInput(inputId = "dataCounts", label = shiny::HTML(
  25                   paste0("Case counts", shiny::tags$sup("[?]",
  26                     title = "Enter as a comma-separated list of positive
  27                              integers, with at least two entries.
  28                              Example: 1,1,2,3,5,8"))))),
  29               shiny::column(4,
  30                 shiny::selectInput(inputId = "dataUnits",
  31                                    label = "Reporting frequency",
  32                                    choices = list("Daily", "Weekly")))
  33             ),
  34             shiny::span(shiny::textOutput(outputId = "dataCountsWarn"),
  35                         style = "color: red;")
  36           ),
  37           # Option 2: Upload .csv file.
  38           shiny::conditionalPanel(condition = "input.dataInputMethod == '2'",
  39             shiny::fileInput(inputId = "dataUpload", label = "",
  40               accept = c("text/csv", "text/comma-separated-values,text/plain",
  41                          ".csv")),
  42           ),
  43           # Option 3: Paste .csv file.
  44           shiny::conditionalPanel(condition = "input.dataInputMethod == '3'",
  45             shiny::textAreaInput(inputId = "dataPaste", label = "",
  46                                  rows = 8, resize = "none"),
  47           ),
  48           # Warning text for .csv upload / paste.
  49           shiny::conditionalPanel(
  50             condition = "['2', '3'].includes(input.dataInputMethod)",
  51             shiny::span(shiny::textOutput(outputId = "dataCSVWarn"),
  52                         style = "color: red;"),
  53           ),
  54           # Button to add data.
  55           shiny::actionButton(inputId = "addData", label = "Add"),
  56         ),
  57         # Estimators tab sidebar (collapsable entries).
  58         shiny::conditionalPanel(condition = "input.tabset == 'Estimators'",
  59           shiny::h3("Estimators"),
  60           # WHITE & PANAGO (WP).
  61           shiny::tags$details(
  62             shiny::tags$summary(shiny::h4("White & Panago (WP)")),
  63             shiny::p("This is a description of the method."),
  64             shiny::br(),
  65             shiny::radioButtons(inputId = "serialWPKnown",
  66                                 label = "Is the mean serial interval known?",
  67                                 inline = TRUE,
  68                                 choices = list("Yes" = 1, "No" = 2)),
  69             # Known serial interval.
  70             shiny::conditionalPanel(condition = "input.serialWPKnown == '1'",
  71               shiny::fluidRow(
  72                 shiny::column(8,
  73                   shiny::textInput(inputId = "serialWPInput",
  74                                    label = "Mean Serial Interval")),
  75                 shiny::column(4,
  76                   shiny::selectInput(inputId = "serialWPUnits",
  77                                      label = "Time units",
  78                                      choices = list("Days", "Weeks")))
  79               ),
  80               shiny::span(shiny::textOutput(outputId = "serialWPWarn"),
  81                           style = "color: red;")
  82             ),
  83             # Unknown serial interval.
  84             shiny::conditionalPanel(condition = "input.serialWPKnown == '2'",
  85               shiny::h5("Grid Search Parameters"),
  86               shiny::fluidRow(
  87                 shiny::column(4,
  88                   shiny::textInput(inputId = "gridLengthInput",
  89                                    label = "Grid length", value = "100")),
  90                 shiny::column(4,
  91                   shiny::textInput(inputId = "gridShapeInput",
  92                                    label = "Max. shape", value = "10")),
  93                 shiny::column(4,
  94                   shiny::textInput(inputId = "gridScaleInput",
  95                                    label = "Max. scale", value = "10"))
  96               ),
  97               shiny::fluidRow(
  98                 shiny::column(4,
  99                   shiny::span(shiny::textOutput(outputId = "gridLengthWarn"),
 100                               style = "color: red;")),
 101                 shiny::column(4,
 102                   shiny::span(shiny::textOutput(outputId = "gridShapeWarn"),
 103                               style = "color: red;")),
 104                 shiny::column(4,
 105                   shiny::span(shiny::textOutput(outputId = "gridScaleWarn"),
 106                               style = "color: red;"))
 107               )
 108             ),
 109             shiny::actionButton(inputId = "addWP", label = "Add")
 110           ),
 111           # SEQUENTIAL BAYES (seqB).
 112           shiny::tags$details(
 113             shiny::tags$summary(shiny::h4("Sequential Bayes (seqB)")),
 114             shiny::p("This is a description of the method."),
 115             shiny::br(),
 116             shiny::fluidRow(
 117               shiny::column(8,
 118                 shiny::textInput(inputId = "serialseqBInput",
 119                                  label = "Mean Serial Interval")),
 120               shiny::column(4,
 121                 shiny::selectInput(inputId = "serialseqBUnits",
 122                                    label = "Time units",
 123                                    choices = list("Days", "Weeks")))
 124             ),
 125             shiny::span(shiny::textOutput(outputId = "serialseqBWarn"),
 126                         style = "color: red;"),
 127             shiny::textInput(inputId = "kappaInput", label = shiny::HTML(
 128               paste0("Maximum value", shiny::tags$sup("[?]",
 129                 title = "This describes the prior belief of R0, and should
 130                          be set to a higher value if R0 is believed to be
 131                          larger. (Default: 20)"))), value = "20"),
 132             shiny::span(shiny::textOutput(outputId = "kappaWarn"),
 133                         style = "color: red;"),
 134             shiny::actionButton(inputId = "addseqB", label = "Add")
 135           ),
 136           # INCIDENCE DECAY (ID).
 137           shiny::tags$details(
 138             shiny::tags$summary(shiny::h4("Incidence Decay (ID)")),
 139             shiny::p("This is a description of the method."),
 140             shiny::br(),
 141             shiny::fluidRow(
 142               shiny::column(8,
 143                 shiny::textInput(inputId = "serialIDInput",
 144                                  label = "Mean Serial Interval")),
 145               shiny::column(4,
 146                 shiny::selectInput(inputId = "serialIDUnits",
 147                                    label = "Time units",
 148                                    choices = list("Days", "Weeks")))
 149             ),
 150             shiny::span(shiny::textOutput(outputId = "serialIDWarn"),
 151                         style = "color: red;"),
 152             shiny::actionButton(inputId = "addID", label = "Add")
 153           ),
 154           # INCIDENCE DECAY & EXPONENTIAL ADJUSTEMENT (IDEA).
 155           shiny::tags$details(
 156             shiny::tags$summary(
 157               shiny::h4("Incidence Decay and Exponential Adjustement (IDEA)")),
 158             shiny::p("This is a description of the method."),
 159             shiny::br(),
 160             shiny::fluidRow(
 161               shiny::column(8,
 162                 shiny::textInput(inputId = "serialIDEAInput",
 163                                  label = "Mean Serial Interval")),
 164               shiny::column(4,
 165                 shiny::selectInput(inputId = "serialIDEAUnits",
 166                                    label = "Time units",
 167                                    choices = list("Days", "Weeks")))
 168             ),
 169             shiny::span(shiny::textOutput(outputId = "serialIDEAWarn"),
 170                         style = "color: red;"),
 171             shiny::actionButton(inputId = "addIDEA", label = "Add")
 172           ),
 173           shiny::tags$style(type = "text/css",
 174                             "summary { display: list-item; cursor: pointer; }"),
 175           shiny::tags$style(type = "text/css",
 176                             "summary h4 { display: inline; }")
 177         )
 178       )
 179     ),
 180     # Main panel.
 181     shiny::mainPanel(id = "main",
 182       shiny::tabsetPanel(id = "tabset", type = "tabs",
 183         shiny::tabPanel("About", shiny::br(), "Hello"),
 184         shiny::tabPanel("Data", shiny::br(),
 185                         shiny::dataTableOutput(outputId = "dataTable"),
 186                         shiny::tags$style(type = "text/css",
 187                           "#dataTable tfoot { display:none; }")),
 188         shiny::tabPanel("Estimators", shiny::br(),
 189                         shiny::dataTableOutput(outputId = "estTable"),
 190                         shiny::tags$style(type = "text/css",
 191                           "#estTable tfoot { display:none; }"),
 192                         shiny::downloadButton(outputId = "downloadEst",
 193                                               label = "Download table as .csv"))
 194       )
 195     )
 196   )
 197 )