Split ui.R into components

1 files changed, 187 insertions, 195 deletions

diff --git a/R/ui.R b/R/ui.R
index 8a82158..355b08e 100644
--- a/R/ui.R
+++ b/R/ui.R
@@ -1,200 +1,192 @@
-ui <- function() { shiny::fluidPage(
-  # Title.
-  shiny::titlePanel(shiny::HTML(
-    paste0("Rnaught: An Estimation Suite for R", shiny::tags$sub("0")))),
-  # Sidebar layout.
-  shiny::sidebarLayout(
-    # Sidebar. Hidden if the 'About' tab is selected.
-    shiny::conditionalPanel(condition = "input.tabset != 'About'",
-      shiny::sidebarPanel(id = "sidebar",
-        # Data tab sidebar.
-        shiny::conditionalPanel(condition = "input.tabset == 'Data'",
-          shiny::h3("Enter data"),
-          # Data input method selection.
-          shiny::radioButtons(inputId = "dataInputMethod", label = "",
-            choices=list("Manually" = 1, "Upload a .csv file" = 2,
-                         "Paste a .csv file" = 3)),
-          # Option 1: Manual entry.
-          shiny::conditionalPanel(condition = "input.dataInputMethod == '1'",
-            shiny::textInput(inputId = "dataName", label = "Dataset name"),
-            shiny::span(shiny::textOutput(outputId = "dataNameWarn"),
-                        style = "color: red;"),
-            shiny::fluidRow(
-              shiny::column(8,
-                shiny::textInput(inputId = "dataCounts", label = shiny::HTML(
-                  paste0("Case counts", shiny::tags$sup("[?]",
-                    title = paste0("Enter as a comma-separated list of ",
-                                   "positive integers, with at least two ",
-                                   "entries. Example: 1,1,2,3,5,8")))))),
-              shiny::column(4,
-                shiny::selectInput(inputId = "dataUnits",
-                                   label = "Reporting frequency",
-                                   choices = list("Daily", "Weekly")))
-            ),
-            shiny::span(shiny::textOutput(outputId = "dataCountsWarn"),
-                        style = "color: red;")
-          ),
-          # Option 2: Upload .csv file.
-          shiny::conditionalPanel(condition = "input.dataInputMethod == '2'",
-            shiny::fileInput(inputId = "dataUpload", label = "",
-              accept = c("text/csv", "text/comma-separated-values,text/plain",
-                         ".csv")),
-          ),
-          # Option 3: Paste .csv file.
-          shiny::conditionalPanel(condition = "input.dataInputMethod == '3'",
-            shiny::textAreaInput(inputId = "dataPaste", label = "",
-                                 rows = 8, resize = "none"),
-          ),
-          # Warning text for .csv upload / paste.
-          shiny::conditionalPanel(
-            condition = "['2', '3'].includes(input.dataInputMethod)",
-            shiny::span(shiny::textOutput(outputId = "dataCSVWarn"),
-                        style = "color: red;"),
-          ),
-          # Button to add data.
-          shiny::actionButton(inputId = "addData", label = "Add"),
-        ),
-        # Estimators tab sidebar (collapsable entries).
-        shiny::conditionalPanel(condition = "input.tabset == 'Estimators'",
-          shiny::h3("Estimators"),
-          # WHITE & PANAGO (WP).
-          shiny::tags$details(
-            shiny::tags$summary(shiny::h4("White & Panago (WP)")),
-            shiny::p("Method due to White and Pagano (2008), assumes a branching process based model. Serial
-distribution can be assumed known or can be estimated using maximum likelihood;  When serial interval is unknown
-the method takes longer to compute, though is still real-time."),
-            shiny::br(),
-            shiny::radioButtons(inputId = "serialWPKnown",
-                                label = "Is the mean serial interval known?",
-                                inline = TRUE,
-                                choices = list("Yes" = 1, "No" = 2)),
-            # Known serial interval.
-            shiny::conditionalPanel(condition = "input.serialWPKnown == '1'",
-              shiny::fluidRow(
-                shiny::column(8,
-                  shiny::textInput(inputId = "serialWPInput",
-                                   label = "Mean Serial Interval")),
-                shiny::column(4,
-                  shiny::selectInput(inputId = "serialWPUnits",
-                                     label = "Time units",
-                                     choices = list("Days", "Weeks")))
-              ),
-              shiny::span(shiny::textOutput(outputId = "serialWPWarn"),
-                          style = "color: red;")
-            ),
-            # Unknown serial interval.
-            shiny::conditionalPanel(condition = "input.serialWPKnown == '2'",
-              shiny::h5("Grid Search Parameters"),
-              shiny::fluidRow(
-                shiny::column(4,
-                  shiny::textInput(inputId = "gridLengthInput",
-                                   label = "Grid length", value = "100")),
-                shiny::column(4,
-                  shiny::textInput(inputId = "gridShapeInput",
-                                   label = "Max. shape", value = "10")),
-                shiny::column(4,
-                  shiny::textInput(inputId = "gridScaleInput",
-                                   label = "Max. scale", value = "10"))
-              ),
-              shiny::fluidRow(
-                shiny::column(4,
-                  shiny::span(shiny::textOutput(outputId = "gridLengthWarn"),
-                              style = "color: red;")),
-                shiny::column(4,
-                  shiny::span(shiny::textOutput(outputId = "gridShapeWarn"),
-                              style = "color: red;")),
-                shiny::column(4,
-                  shiny::span(shiny::textOutput(outputId = "gridScaleWarn"),
-                              style = "color: red;"))
-              )
-            ),
-            shiny::actionButton(inputId = "addWP", label = "Add")
-          ),
-          # SEQUENTIAL BAYES (seqB).
-          shiny::tags$details(
-            shiny::tags$summary(shiny::h4("Sequential Bayes (seqB)")),
-            shiny::p("This is a description of the method."),
-            shiny::br(),
-            shiny::fluidRow(
-              shiny::column(8,
-                shiny::textInput(inputId = "serialseqBInput",
-                                 label = "Mean Serial Interval")),
-              shiny::column(4,
-                shiny::selectInput(inputId = "serialseqBUnits",
-                                   label = "Time units",
-                                   choices = list("Days", "Weeks")))
-            ),
-            shiny::span(shiny::textOutput(outputId = "serialseqBWarn"),
-                        style = "color: red;"),
-            shiny::textInput(inputId = "kappaInput",
-              label = shiny::HTML(paste0("Maximum value", shiny::tags$sup("[?]",
-                title = paste0("This describes the prior belief of R0, and ",
-                               "should be set to a higher value if R0 is ",
-                               "believed to be larger. (Default: 20)")))),
-              value = "20"),
-            shiny::span(shiny::textOutput(outputId = "kappaWarn"),
-                        style = "color: red;"),
-            shiny::actionButton(inputId = "addseqB", label = "Add")
-          ),
-          # INCIDENCE DECAY (ID).
-          shiny::tags$details(
-            shiny::tags$summary(shiny::h4("Incidence Decay (ID)")),
-            shiny::p("This is a description of the method."),
-            shiny::br(),
-            shiny::fluidRow(
-              shiny::column(8,
-                shiny::textInput(inputId = "serialIDInput",
-                                 label = "Mean Serial Interval")),
-              shiny::column(4,
-                shiny::selectInput(inputId = "serialIDUnits",
-                                   label = "Time units",
-                                   choices = list("Days", "Weeks")))
-            ),
-            shiny::span(shiny::textOutput(outputId = "serialIDWarn"),
-                        style = "color: red;"),
-            shiny::actionButton(inputId = "addID", label = "Add")
-          ),
-          # INCIDENCE DECAY & EXPONENTIAL ADJUSTEMENT (IDEA).
-          shiny::tags$details(
-            shiny::tags$summary(
-              shiny::h4("Incidence Decay and Exponential Adjustement (IDEA)")),
-            shiny::p("This is a description of the method."),
-            shiny::br(),
-            shiny::fluidRow(
-              shiny::column(8,
-                shiny::textInput(inputId = "serialIDEAInput",
-                                 label = "Mean Serial Interval")),
-              shiny::column(4,
-                shiny::selectInput(inputId = "serialIDEAUnits",
-                                   label = "Time units",
-                                   choices = list("Days", "Weeks")))
-            ),
-            shiny::span(shiny::textOutput(outputId = "serialIDEAWarn"),
-                        style = "color: red;"),
-            shiny::actionButton(inputId = "addIDEA", label = "Add")
-          ),
-          shiny::tags$style(type = "text/css",
-                            "summary { display: list-item; cursor: pointer; }"),
-          shiny::tags$style(type = "text/css",
-                            "summary h4 { display: inline; }")
+ui <- function() {
+  shiny::fluidPage(
+    # Title.
+    shiny::titlePanel(shiny::HTML(
+      paste0("Rnaught: An Estimation Suite for R", shiny::tags$sub("0")))),
+    # Sidebar layout.
+    shiny::sidebarLayout(
+      # Sidebar. Hidden if the 'About' tab is selected.
+      shiny::conditionalPanel(condition = "input.tabset != 'About'",
+        shiny::sidebarPanel(id = "sidebar", data_sidebar(), est_sidebar())),
+      # Main panel.
+      shiny::mainPanel(id = "main",
+        shiny::tabsetPanel(id = "tabset", type = "tabs",
+          shiny::tabPanel("About", shiny::br(), "Hello"),
+          shiny::tabPanel("Data", shiny::br(),
+            shiny::dataTableOutput(outputId = "dataTable"),
+            shiny::tags$style(type = "text/css",
+                              "#dataTable tfoot { display:none; }")),
+          shiny::tabPanel("Estimators", shiny::br(),
+            shiny::dataTableOutput(outputId = "estTable"),
+            shiny::tags$style(type = "text/css",
+                              "#estTable tfoot { display:none; }"),
+            shiny::downloadButton(outputId = "downloadEst",
+                                  label = "Download table as .csv"))
         )
       )
+    )
+  )
+}
+
+# Data tab sidebar.
+data_sidebar <- function() {
+  shiny::conditionalPanel(condition = "input.tabset == 'Data'",
+    shiny::h3("Enter data"),
+    # Data input method selection.
+    shiny::radioButtons(inputId = "dataInputMethod", label = "",
+      choices=list("Manually" = 1, "Upload a .csv file" = 2,
+                   "Paste a .csv file" = 3)),
+    # Option 1: Manual entry.
+    shiny::conditionalPanel(condition = "input.dataInputMethod == '1'",
+      shiny::textInput(inputId = "dataName", label = "Dataset name"),
+      shiny::span(shiny::textOutput(outputId = "dataNameWarn"),
+                  style = "color: red;"),
+      shiny::fluidRow(
+        shiny::column(8,
+          shiny::textInput(inputId = "dataCounts",
+            label = help_tool("Case counts", paste0("Enter as a ",
+              "comma-separated list of positive integers, with at least two ",
+              "entries. (Example: 1,1,2,3,5,8)")))),
+        shiny::column(4, shiny::selectInput(inputId = "dataUnits",
+          label = "Reporting frequency", choices = list("Daily", "Weekly")))
+      ),
+      shiny::span(shiny::textOutput(outputId = "dataCountsWarn"),
+                  style = "color: red;")
+    ),
+    # Option 2: Upload .csv file.
+    shiny::conditionalPanel(condition = "input.dataInputMethod == '2'",
+      shiny::fileInput(inputId = "dataUpload", label = "",
+        accept = c("text/csv", "text/comma-separated-values,text/plain",
+                   ".csv")),
+    ),
+    # Option 3: Paste .csv file.
+    shiny::conditionalPanel(condition = "input.dataInputMethod == '3'",
+      shiny::textAreaInput(inputId = "dataPaste", label = "",
+                           rows = 8, resize = "none"),
     ),
-    # Main panel.
-    shiny::mainPanel(id = "main",
-      shiny::tabsetPanel(id = "tabset", type = "tabs",
-        shiny::tabPanel("About", shiny::br(), "Hello"),
-        shiny::tabPanel("Data", shiny::br(),
-                        shiny::dataTableOutput(outputId = "dataTable"),
-                        shiny::tags$style(type = "text/css",
-                          "#dataTable tfoot { display:none; }")),
-        shiny::tabPanel("Estimators", shiny::br(),
-                        shiny::dataTableOutput(outputId = "estTable"),
-                        shiny::tags$style(type = "text/css",
-                          "#estTable tfoot { display:none; }"),
-                        shiny::downloadButton(outputId = "downloadEst",
-                                              label = "Download table as .csv"))
+    # Warning text for .csv upload / paste.
+    shiny::conditionalPanel(
+      condition = "['2', '3'].includes(input.dataInputMethod)",
+      shiny::span(shiny::textOutput(outputId = "dataCSVWarn"),
+                  style = "color: red;"),
+    ),
+    # Button to add data.
+    shiny::actionButton(inputId = "addData", label = "Add")
+  )
+}
+
+# Estimators tab sidebar.
+est_sidebar <- function() {
+  shiny::conditionalPanel(condition = "input.tabset == 'Estimators'",
+    shiny::h3("Estimators"),
+    WP_collapse(),
+    seqB_collapse(),
+    ID_collapse(),
+    IDEA_collapse(),
+
+    shiny::tags$style(type = "text/css",
+                      "summary { display: list-item; cursor: pointer; }"),
+    shiny::tags$style(type = "text/css", "summary h4 { display: inline; }")
+  )
+}
+
+# Collapsable entry for White & Panago (WP) method.
+WP_collapse <- function() {
+  shiny::tags$details(
+    shiny::tags$summary(shiny::h4("White & Panago (WP)")),
+    shiny::p("Method due to White and Pagano (2008), assumes a branching process
+             based model. Serial distribution can be assumed known or can be
+             estimated using maximum likelihood;  When serial interval is
+             unknown the method takes longer to compute, though is still
+             real-time."),
+    shiny::br(),
+    shiny::radioButtons(inputId = "serialWPKnown",
+                        label = "Is the mean serial interval known?",
+                        inline = TRUE, choices = list("Yes" = 1, "No" = 2)),
+    # Known serial interval.
+    shiny::conditionalPanel(condition = "input.serialWPKnown == '1'",
+      serial_fields("WP")),
+    # Unknown serial interval.
+    shiny::conditionalPanel(condition = "input.serialWPKnown == '2'",
+      shiny::h5("Grid Search Parameters"),
+      shiny::fluidRow(
+        shiny::column(4, shiny::textInput(inputId = "gridLengthInput",
+          label = "Grid length", value = "100")),
+        shiny::column(4, shiny::textInput(inputId = "gridShapeInput",
+          label = "Max. shape", value = "10")),
+        shiny::column(4, shiny::textInput(inputId = "gridScaleInput",
+          label = "Max. scale", value = "10"))
+      ),
+      shiny::fluidRow(
+        shiny::column(4, shiny::span(shiny::textOutput(
+          outputId = "gridLengthWarn"), style = "color: red;")),
+        shiny::column(4, shiny::span(shiny::textOutput(
+          outputId = "gridShapeWarn"), style = "color: red;")),
+        shiny::column(4, shiny::span(shiny::textOutput(
+          outputId = "gridScaleWarn"), style = "color: red;"))
       )
-    )
+    ),
+    shiny::actionButton(inputId = "addWP", label = "Add")
+  )
+}
+
+# Collapsable entry for Sequential Bayes (seqB) method.
+seqB_collapse <- function() {
+  shiny::tags$details(
+    shiny::tags$summary(shiny::h4("Sequential Bayes (seqB)")),
+    shiny::p("This is a description of the method."),
+    shiny::br(),
+    serial_fields("seqB"),
+    shiny::textInput(inputId = "kappaInput",
+      label = help_tool("Maximum value", paste0("This describes the prior ",
+        "belief of R0, and should be set to a higher value if R0 is believed ",
+        "be larger. (Default: 20)")), value = "20"),
+    shiny::span(shiny::textOutput(outputId = "kappaWarn"),
+                style = "color: red;"),
+    shiny::actionButton(inputId = "addseqB", label = "Add")
   )
-)}
+}
+
+# Collapsable entry for Incidence Decay (ID) method.
+ID_collapse <- function() {
+  shiny::tags$details(
+    shiny::tags$summary(shiny::h4("Incidence Decay (ID)")),
+    shiny::p("This is a description of the method."),
+    shiny::br(),
+    serial_fields("ID"),
+    shiny::actionButton(inputId = "addID", label = "Add")
+  )
+}
+
+# Collapsable entry for Incidence Decay & Exponential Adjustment (IDEA) method.
+IDEA_collapse <- function() {
+  shiny::tags$details(
+    shiny::tags$summary(
+      shiny::h4("Incidence Decay and Exponential Adjustment (IDEA)")),
+    shiny::p("This is a description of the method."),
+    shiny::br(),
+    serial_fields("IDEA"),
+    shiny::actionButton(inputId = "addIDEA", label = "Add")
+  )
+}
+
+# Input fields and warning text for the mean serial interval.
+serial_fields <- function(method) {
+  shiny::HTML(paste0(
+    shiny::fluidRow(
+      shiny::column(8, shiny::textInput(
+        inputId = paste0("serial", method, "Input"),
+        label = "Mean Serial Interval")),
+      shiny::column(4, shiny::selectInput(
+        inputId = paste0("serial", method, "Units"),
+        label = "Time units", choices = list("Days", "Weeks")))
+    ),
+    shiny::span(shiny::textOutput(outputId = paste0("serial", method, "Warn")),
+                style = "color: red;")
+  ))
+}
+
+# Display help information on hover.
+help_tool <- function(label, help_text) {
+  shiny::HTML(paste0(label, shiny::tags$sup("[?]", title = help_text)))
+}