observe({
output$benchAuthority <- renderPlot({
validate(
need(
!is.null(input$dataFile),
'Please choose a datafile !'
),
need(
K() > 1,
'Requires more than one error set !'
)
)
nMC = 1000
bsR = input$bsSizeRatio
M = round(nrow(Errors)*bsR)
score = input$stat
# Calculate or load rank table
if( M == nrow(Errors) ) {
if(any(is.na(rankMat[[score]]$bs))) {
tab = rankBS(Errors, score, nMC)
rankMat[[score]]$bs <<- tab
} else {
tab = rankMat[[score]]$bs
}
} else {
# Do not save, as M can vary
# if(is.na(rankMat[[score]]$bs2)) {
tab = rankBS2(Errors, score, nMC, M)
# rankMat[[score]]$bs2 <<- tab
# } else {
# tab = rankMat[[score]]$bs2
# }
}
ErrViewLib::plotRankMat(
E = Errors,
tab = tab,
score = score,
type = input$baType,
show.main = FALSE,
offset = 0.8,
cex.lab = input$rankCexLab,
M = M,
gPars = gPars)
},
# # Best with square plot, except for small matrices
# width = max(300,round(plotHeight * K()^0.5 / nomSize)),
# height = max(200,round(plotHeight * K()^0.5 / nomSize))
width = 1.25*plotWidth, height = 1.25*plotHeight
)
})
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