Nothing
# Project: microsamplingDesign
#
# Author: ablommaert
###############################################################################
## settings to display (repetition of already set parameters)
boolDevelopmentRankTimePoints <- FALSE
nCurvesDataTimePoints <- 30
defaultGridPoints <- 25 #faster with less grid points but less precise
## for development ( fix input)
if( boolDevelopmentRankTimePoints ) { cat( " TODO connect connect inputs into rank time points") }
pkModelObject <- reactive( {
if( boolDevelopmentRankTimePoints) {
return(getExamplePkModel() )
}
pkModelInApp()
})
setOftimePointsObject <- reactive({
if( boolDevelopmentRankTimePoints ) {
return( getExampleSetOfTimePoints( 0:10 ) )
}
setOfTimePoints()
})
## generate data
dataForTimePoints <- reactive({
validate(
need( input$getDataTimePoints > 0 , "Click on 'Generate data to rank time points'")
)
isolate({
getPkData( pkModelObject() ,
timePoints = getTimePoints( setOftimePointsObject() ) ,
nSubjectsPerScheme = input$nSubjectsPerSchemeTimePoints ,
nSamples = input$nSamplesForTimePoints ,
nCores = coresInAppliation
)
})
})
## output
# table with timePoints
output$tableTimePointForRanking <- DT::renderDataTable({
getData( setOftimePointsObject() )
} )
# plot of generated data
output$plotDataTimePoints <- renderPlot({
dataToPlot <- dataForTimePoints()
plotObject( dataToPlot , nCurves = nCurvesDataTimePoints )
})
# rank time points
integrationSamples <- reactive({
input$nSamplesForTimePoints # by defayult integration samples
})
nGridPoints <- reactive({ defaultGridPoints })
rankedTimePoints <- reactive( {
validate(
need( input$rankTimePoints > 0 , "Click on 'Rank time points' " )
)
isolate({
Pkdata <- dataForTimePoints()
rankObject( object = setOftimePointsObject() , pkData = dataForTimePoints() ,
nGrid = nGridPoints() , nSamplesAvCurve = integrationSamples() ,
nCores = coresInAppliation
)
})
})
# output ranked time points
# ranking
output$tableRankingTimePoints <- DT::renderDataTable({
setOfSchemesRanked <- rankedTimePoints()
rankingTimePoints <- getRanking( setOfSchemesRanked )
rankingTimePoints
} )
# calculation for table
getRankingTable <- reactive({
setOfSchemesRanked <- rankedTimePoints()
nSelect <- min( input$topTimePointsToSelect , nrow( setOfSchemesRanked ) )
ranking <- getRanking( setOfSchemesRanked )
rankingToSelect <- ranking[ ( 1 : nSelect ) , ]
indTopTimePoints <- getTopNRanking( ranking , nSelect = nSelect )
timePointsSelect <- setOfSchemesRanked[ indTopTimePoints , , drop = FALSE ]
selectedTimePointsWithRank <- data.frame( rankingToSelect , timePointsSelect )
selectedTimePointsWithRank$criterion <- round( selectedTimePointsWithRank$criterion , NDIGITSROUND )
selectedTimePointsWithRank
})
# ordered ranked time points
output$tableRankedTimePoints <- DT::renderDataTable( getRankingTable() , rownames = TRUE ,
server = TRUE , selection = list( mode = 'single' , selected = 1 ) )
## Selected time point TO DO change it to data table selection
selectedTimePointOption <- reactive({
validate( need( ! is.null(input$tableRankedTimePoints_rows_selected) , "Click on a row to select a time point option" ) )
isolate({
timePointsRanked <- rankedTimePoints()
selectedTimePoints <- extractByRank( timePointsRanked , input$tableRankedTimePoints_rows_selected )
selectedTimePoints
})
})
output$selectedTimePoint <- renderTable({
selectedTimePointOption()
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.