# Ranges of plot limits for dendrograms
# (PCA requires a scaling yet to be found...)
rangesPCA <- reactiveValues(x = NULL, y = NULL)
observeEvent(input$pca_dblclick, {
brush <- input$pca_brush
if (!is.null(brush)) {
rangesPCA$x <- c(brush$xmin, brush$xmax)
rangesPCA$y <- c(brush$ymin, brush$ymax)
} else {
rangesPCA$x <- NULL
rangesPCA$y <- NULL
}
})
observe({
output$edaPlot <- renderPlot({
validate(
need(
!is.null(input$dataFile),
'Please choose a datafile !'
),
need(
K() > 1,
'Requires more than one error set !'
)
)
if (input$corTrendEDA)
Errors = trendCorr (Data, Errors, input$corDegreeEDA)
if (input$edaChoice == "pca") {
xlim = NULL
ylim = NULL
ErrViewLib::plotPCA(
Errors,
labels = rownames(Errors),
xlim = xlim,
ylim = ylim,
cex.lab = input$edaCexLab,
gPars = gPars
)
} else {
# Clustering
if (is.null(rangesPCA$x)) {
xlim = NULL
} else {
xlim = rangesPCA$x; print(xlim)
}
if (is.null(rangesPCA$y)) {
ylim = NULL
} else {
ylim = rangesPCA$y; print(ylim)
}
ErrViewLib::plotClusters(
Errors,
type = input$edaChoice,
method = input$clustMethod,
cex.lab = input$edaCexLab,
xlim = xlim,
ylim = ylim,
gPars = gPars
)
}
},
width = 1.25*plotWidth, height = plotHeight
)
})
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