### Generate ERT table
get_data_ERT_aggr_dim <- reactive({
input$ERTPlot.Aggr_Dim.Refresh
req(length(DATA_RAW()) > 0)
data <- ERTPlot.Aggr_Dim.data()
if (is.null(data)) return(NULL)
aggr_on <- 'DIM'
targets <- isolate(ERTPlot.Aggr_Dim.Targets_obj)
dt <- generate_data.Aggr(data, aggr_on, targets)
dt
})
### Plot the data
render_ERTPlot_aggr_plot_dim <- reactive({
withProgress({
data <- get_data_ERT_aggr_dim()
req(data)
y_attr <- if (input$ERTPlot.Aggr_Dim.Ranking) 'rank' else 'value'
y_title <- if (input$ERTPlot.Aggr_Dim.Ranking) 'Rank' else 'ERT'
reverse_scale <- input$ERTPlot.Aggr_Dim.Mode == 'radar'
plot_general_data(data, type = input$ERTPlot.Aggr_Dim.Mode, x_attr = 'DIM',
y_attr = y_attr, x_title = "DIM", y_title = y_title, show.legend = T,
scale.ylog = input$ERTPlot.Aggr_Dim.Logy, scale.xlog = T,
scale.reverse = reverse_scale)
},
message = "Creating plot")
})
### Gather relevant datasetlist
ERTPlot.Aggr_Dim.data <- function() {
data <- subset(DATA_RAW(), ID %in% isolate(input$ERTPlot.Aggr_Dim.Algs))
if (length(data) == 0) return(NULL)
data <- subset(data, funcId == input$Overall.Funcid)
if (length(unique(get_dim(data))) <= 1) {
shinyjs::alert("This plot is only available when the dataset contains
multiple dimensions for the selected function")
return(NULL)
}
if (length(unique(get_id(data))) <= 1) {
shinyjs::alert("This plot is only available when the dataset contains
multiple IDs for the selected function")
return(NULL)
}
data
}
### format table for display
ert_multi_dim <- function(){
dt <- get_data_ERT_aggr_dim()
dt <- dcast(dt, DIM~ID, value.var = 'value')
format(dt, digits = 4)
}
### Table with default targets
default_targets_table_dim <- reactive({
data <- ERTPlot.Aggr_Dim.data()
if (is.null(data)) return(NULL)
targets <- get_target_dt(data, 'by_FV')
targets <- targets[, c('DIM','target')]
})
### Target table object
ERTPlot.Aggr_Dim.Targets_obj <- NULL
### Target table proxy
proxy_ERTPlot.Aggr_Dim.Targets <- dataTableProxy('ERTPlot.Aggr_Dim.Targets')
### Target table print
output$ERTPlot.Aggr_Dim.Targets <- DT::renderDataTable({
req(length(DATA_RAW()) > 0)
ERTPlot.Aggr_Dim.Targets_obj <<- default_targets_table_dim()
ERTPlot.Aggr_Dim.Targets_obj
}, editable = TRUE, rownames = FALSE,
options = list(pageLength = 5, lengthMenu = c(5, 10, 25, -1), scrollX = T, server = T))
### Target table edit
observeEvent(input$ERTPlot.Aggr_Dim.Targets_cell_edit, {
info <- input$ERTPlot.Aggr_Dim.Targets_cell_edit
i <- info$row
req(i > 0)
j <- info$col + 1
v <- info$value
ERTPlot.Aggr_Dim.Targets_obj[i, j] <<-
DT::coerceValue(v, ERTPlot.Aggr_Dim.Targets_obj[['target']][[i]])
replaceData(proxy, ERTPlot.Aggr_Dim.Targets_obj, resetPaging = FALSE, rownames = FALSE)
})
### Table output
output$ERTPlot.Aggr_Dim.ERTTable <- DT::renderDataTable({
input$ERTPlot.Aggr_Dim.Refresh
req(length(DATA_RAW()) > 0)
withProgress({
ert_multi_dim()
},
message = "Creating table")
}, editable = FALSE, rownames = TRUE,
options = list(pageLength = 5, lengthMenu = c(5, 10, 25, -1), scrollX = T, server = T))
### plot output
output$ERTPlot.Aggr_Dim.Plot <- renderPlotly(
render_ERTPlot_aggr_plot_dim()
)
### Download table
output$ERTPlot.Aggr_Dim.DownloadTable <- downloadHandler(
filename = function() {
eval(ERT_multi_dim_name)
},
content = function(file) {
df <- ert_multi_dim()
save_table(df, file)
}
)
### Download plot
output$ERTPlot.Aggr_Dim.Download <- downloadHandler(
filename = function() {
eval(FIG_NAME_ERT_AGGR_DIM)
},
content = function(file) {
save_plotly(render_ERTPlot_aggr_plot_dim(), file)
},
contentType = paste0('image/', input$ERTPlot.Aggr_Dim.Format)
)
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