output$plotheatmapsmall <- renderImage({
filename <- normalizePath(file.path('./images','desc_heatmap.png'))
list(src = filename,
width = .width,
height = .height)
}, deleteFile = FALSE)
# output$heatmap <- renderPlot({
# heatmap()
# })
output$heatmap <- renderImage({
outfile <- tempfile(fileext='.png')
# Generate a png
png(outfile, width=900, height=600)
heatmap()
dev.off()
# Return a list
list(src = outfile,
alt = "This is alternate text")
}, deleteFile = TRUE)
output$plotheatmaplarge <- renderUI({
tagList(
div(
div(
style="display:inline-block; vertical-align: middle; padding-right: 20px;",
selectInput(ns("distance"),"Distance",
choices = G_heatmapDistance_Choices,
selected = "euclidean",
width="150px")
),
div(
style="display:inline-block; vertical-align: middle;",
selectInput(ns("linkage"),"Linkage",
choices=G_heatmapLinkage_Choices,
selected='complete',
width="150px")
),
tags$hr(),
uiOutput(ns("DS_PlotHeatmap"))
)
)
})
output$DS_PlotHeatmap <- renderUI({
req(dataIn())
if (nrow(dataIn()) > limitHeatmap){
tags$p("The dataset is too big to compute the heatmap in a reasonable time.")
}else {
tagList(
withProgress(message = '',detail = '', value = 1, {
imageOutput(ns("heatmap"), width = "900px", height = "600px")
})
)
}
})
#
# observeEvent(input$distance,{rv$PlotParams$heatmap.distance <- input$distance})
# observeEvent(input$linkage,{rv$PlotParams$heatmap.linkage <- input$linkage})
heatmap <- reactive({
req(dataIn())
input$linkage
input$distance
isolate({ wrapper.heatmapD(dataIn(),
input$distance,
input$linkage,
TRUE)
})
})
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