summaryrefslogtreecommitdiff
path: root/R/ui.R
blob: d6102f97a442d9716ca14c63b920f315260f4bff (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
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$sup("[?]", title="Enter as a comma-separated list of positive integers, with at least two entries. Ex: 1,1,2,3,5,8"))))
                                ),
                                shiny::column(4, shiny::selectInput(inputId="dataUnits", label="Reporting frequency", choices=list("Daily", "Weekly")))
                            ),
                            shiny::span(shiny::textOutput(outputId="dataCountsWarn"), style="color: red;")
                        ),
                        # Option 2: Upload .csv file.
                        shiny::conditionalPanel(condition="input.dataInputMethod == '2'",
                            shiny::fileInput(inputId="dataUpload", label="", accept=c("text/csv", "text/comma-separated-values,text/plain", ".csv")),
                        ),
                        # Option 3: Paste .csv file.
                        shiny::conditionalPanel(condition="input.dataInputMethod == '3'",
                            shiny::textAreaInput(inputId="dataPaste", label="", rows=8, resize="none"),
                        ),
                        # Warning text for .csv upload / paste.
                        shiny::conditionalPanel(condition="['2', '3'].includes(input.dataInputMethod)",
                            shiny::span(shiny::textOutput(outputId="dataCSVWarn"), style="color: red;"),
                        ),
                        # Button to add data.
                        shiny::actionButton(inputId="addData", label="Add"),
                    ),
                    # Estimators tab sidebar (collapsable entries).
                    shiny::conditionalPanel(condition="input.tabset == 'Estimators'",
                        shiny::h3("Estimators"),
                        # WHITE & PANAGO (WP).
                        shiny::tags$details(
                            shiny::tags$summary(shiny::h4("White & Panago (WP)")),
                            shiny::p("This is a description of the method."),
                            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$summary(shiny::h4("Sequential Bayes (seqB)")),
                            shiny::p("This is a description of the method."),
                            shiny::br(),
                            shiny::fluidRow(
                                shiny::column(8, shiny::textInput(inputId="serialseqBInput", label="Mean Serial Interval")),
                                shiny::column(4, shiny::selectInput(inputId="serialseqBUnits", label="Time units", choices=list("Days", "Weeks")))
                            ),
                            shiny::span(shiny::textOutput(outputId="serialseqBWarn"), style="color: red;"),
                            shiny::textInput(inputId="kappaInput", label=shiny::HTML(paste0("Maximum value of the uniform prior",
                                shiny::tags$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)"))),
                                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; }")
                    )
                )
            ),
            # 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")
                    )
                )
            )
        )
    )
}