shinyUI(
fluidPage(
tags$head(tags$style(HTML("h1 {color: #016E98; font-size: 31px; }
a {color: #016E98; }"))),
fluidRow(
column(width = 3,
a(img(src = "https://www.tno.nl/media/4710/logo-tno.gif", vspace = "12"),
href = "https://www.tno.nl/")),
column(width = 9,
h1("3R Sample Size Calculator", align = "CENTER"))),
fluidRow(
column(width = 3,
wellPanel(
selectInput(inputId = "disease",
label = "Disease model",
choices = c("Model" = "other",
"Lung fibrosis" = "fibrosis"),
selected = "other"
),
conditionalPanel(
condition = "input.disease == 'fibrosis'",
selectInput(inputId = "outcome",
label = "Parameter",
choices = c("Histological fibrosis" = "hist",
"Collagen content" = "cola")
),
conditionalPanel(
condition = "input.outcome == 'hist'",
numericInput("hist.induced.mu", "Mean induced: ", 3.86),
numericInput("hist.induced.sd", "SD induced: ", 1.49),
numericInput("hist.control.mu", "Mean control: ", 0.64),
numericInput("hist.control.sd", "SD control: ", 0.93),
selectInput(inputId = "hist.treated.pct",
label = "Percent reduction: ",
choices = as.character(seq(0, 100, 10)),
selected = "50")
),
conditionalPanel(
condition = "input.outcome == 'cola'",
numericInput("cola.induced.mu", "Mean induced: ", 573),
numericInput("cola.induced.sd", "SD induced: ", 210),
numericInput("cola.control.mu", "Mean control: ", 308),
numericInput("cola.control.sd", "SD control: ", 81),
selectInput(inputId = "cola.treated.pct",
label = "Percent reduction: ",
choices = as.character(seq(0, 100, 10)),
selected = "70")
)
),
conditionalPanel(
condition = "input.disease == 'other'",
selectInput(inputId = "otheroutcome",
label = "Parameter",
choices = c("Outcome 1" = "out1",
"Outcome 2" = "out2")
),
conditionalPanel(
condition = "input.otheroutcome == 'out1'",
numericInput("out1.induced.mu", "Mean induced: ", 1),
numericInput("out1.induced.sd", "SD induced: ", 1),
numericInput("out1.control.mu", "Mean control: ", 0),
numericInput("out1.control.sd", "SD control: ", 1),
selectInput(inputId = "out1.treated.pct",
label = "Percent reduction: ",
choices = as.character(seq(0, 100, 10)),
selected = "80")
)
,
conditionalPanel(
condition = "input.otheroutcome == 'out2'",
numericInput("out2.induced.mu", "Mean induced: ", 1),
numericInput("out2.induced.sd", "SD induced: ", 1),
numericInput("out2.control.mu", "Mean control: ", 0),
numericInput("out2.control.sd", "SD control: ", 1),
selectInput(inputId = "out2.treated.pct",
label = "Percent reduction: ",
choices = as.character(seq(0, 100, 10)),
selected = "80")
))
),
wellPanel(
selectInput(inputId = "ntreated",
label = "Number of treated groups:",
choices = c(1, 2, 3, 4, 5, 6, 7, 8, 9),
selected = 3),
radioButtons(inputId = "alpha",
label = "Alpha",
choices = c("0.05" = "0.05",
"0.01" = "0.01")),
radioButtons(inputId = "power",
label = "Power",
choices = c("0.50" = "0.50",
"0.80" = "0.80",
"0.90" = "0.90"),
selected = "0.80")
),
conditionalPanel(
condition = "input.panel == 'Table'",
downloadButton('downloadTable', 'Download')
),
conditionalPanel(
condition = "input.panel == 'Graph'",
downloadButton('downloadGraph', 'Download')
),
conditionalPanel(
condition = "input.panel == 'Summary'",
downloadButton('downloadSummary', 'Download')
)
),
column(width = 8, offset = 1,
tabsetPanel(
tabPanel("Table",
tableOutput("tablesym"),
tableOutput("tableasym")),
tabPanel("Graph",
plotOutput("mainplot", height = "700px")),
tabPanel("Summary",
uiOutput("summary")),
tabPanel("How to use",
includeRmd(file.path(path.package("RRR"), "md", "help.Rmd"))),
tabPanel("About",
includeRmd(file.path(path.package("RRR"), "md", "about.Rmd"))),
id = "panel"
)
)
)
)
)
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