argumentsDataUI <- function(id) {
# Create a namespace function using the provided id
ns <- NS(id)
#UI Definition
conditionalPanel(
condition = "input.arg == 'yes'",
fluidRow(
column(
width = 12,
align = "center",
h4("PARAMETERS", style="font-weight: bold")
)
),
wellPanel( id= "args-well",
selectInput(ns("method"), "Method",
choices = methodChoices),
selectInput(ns("kcdf"), "kcdf",
c("Gaussian","Poisson","none")),
radioButtons(ns("absRanking"), "absRanking:",
c("False" = FALSE,
"True" = TRUE)),
numericInput(ns("minSz"),"minSize", value = 1),
numericInput(ns("maxSz"),"maxSize (Write 0 for infinite)", value = 0),
radioButtons(ns("mxDiff"), "maxDiff",
c("True" = TRUE,
"False" = FALSE)),
numericInput(ns("tau"),"tau", value = 1),
radioButtons(ns("ssgseaNorm"), "normalize:",
c("True" = TRUE,
"False" = FALSE))
)
)
}
argumentsDataServer <- function(id){
moduleServer(id, function(input, output, session){
observeEvent(input$method, {
toggleElement("kcdf", condition = input$method %in% c("gsva"))
toggleElement("absRanking", condition = input$method %in% "gsva")
toggleElement("ssgseaNorm", condition = input$method %in% "ssgsea")
toggleElement("mxDiff", condition = input$method %in% "gsva")
toggleElement("tau", condition = input$method %in% c("gsva", "ssgsea"))
if(input$method == "gsva"){
updateNumericInput(inputId = "tau", value = 1)
} else {
updateNumericInput(inputId = "tau", value = 0.25)
}
if(input$method %in% c("zscore", "plage")){
updateSelectInput(inputId = "kcdf", selected = "Gaussian")
}
})
varMinsz <- reactive({
validate(need(!is.na(input$minSz), "Value 'minSize' cannot be empty and must be an integer value"))
input$minSz })
varMaxsz <- reactive({
validate(need(!is.na(input$maxSz), "Value 'maxSize' cannot be empty and must be an integer value"))
ifelse(input$maxSz==0, Inf, input$maxSz) })
selectedTau <- reactive({
if(input$method %in% c("gsva", "ssgsea")){
validate(need(!is.na(input$tau), "Value 'tau' cannot be empty and must be an numeric value"))
input$tau
} else {
NULL
}
})
method <- reactive({ input$method })
kcdf <- reactive({ input$kcdf })
absRanking <- reactive({ as.logical(input$absRanking) })
mxDiff <- reactive({ as.logical(input$mxDiff) })
ssgseaNorm <- reactive({ as.logical(input$ssgseaNorm) })
return(list(
varMinsz = varMinsz,
varMaxsz = varMaxsz,
selectedTau = selectedTau,
method = method,
kcdf = kcdf,
absRanking = absRanking,
mxDiff = mxDiff,
ssgseaNorm = ssgseaNorm
))
})
}
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