Nothing
# Data summary for Fixed-Target Runtime (ERT) --------------
runtime_summary_condensed <- reactive({
data <- DATA()
req(length(data) > 0)
# fall <- get_funvals(data)
data <- subset(data, ID %in% input$RTSummary.Overview.ID)
df <- get_FV_overview(data)
df$budget %<>% as.numeric
df$runs %<>% as.integer
df$funcId %<>% as.integer
df$DIM %<>% as.integer
df$succ %<>% as.integer
df$"worst recorded" <- format_FV(df$"worst recorded")
df$"worst reached" <- format_FV(df$"worst reached")
df$"mean reached" <- format_FV(df$"mean reached")
df$"median reached" <- format_FV(df$"median reached")
df$"best reached" <- format_FV(df$"best reached")
df
})
output$table_RT_overview <- DT::renderDataTable({
req(input$RTSummary.Overview.ID)
runtime_summary_condensed()
}, filter = list(position = 'top', clear = FALSE),
options = list(dom = 'lrtip', pageLength = 15, scrollX = T, server = T))
output$RTSummary.Overview.Download <- downloadHandler(
filename = function() {
eval(RT_overview_name)
},
content = function(file) {
df <- runtime_summary_condensed()
df <- df[input[["table_RT_overview_rows_all"]]]
save_table(df, file)
}
)
# Data summary for Fixed-Target Runtime (ERT) --------------
runtime_summary <- reactive({
req(input$RTSummary.Statistics.Min,
input$RTSummary.Statistics.Max,
input$RTSummary.Statistics.Step)
fstart <- format_FV(input$RTSummary.Statistics.Min)
fstop <- format_FV(input$RTSummary.Statistics.Max)
fstep <- format_FV(input$RTSummary.Statistics.Step)
data <- DATA()
data <- subset(data, ID %in% input$RTSummary.Statistics.ID)
if (!input$RTSummary.Statistics.Single) {
req(fstart <= fstop, fstep <= fstop - fstart, length(data) > 0)
fall <- get_funvals(data)
fseq <- seq_FV(fall, fstart, fstop, fstep)
req(fseq)
} else {
fseq <- fstart
}
df <- get_RT_summary(data, fseq)
df <- df[, c('DIM', 'funcId') := NULL]
df$target <- format_FV(df$target) %>% as.numeric
# format the integers
probs <- getOption("IOHanalyzer.quantiles")
for (p in paste0(probs * 100, '%')) {
df[[p]] %<>% as.integer
}
df$mean <- round(df$mean, digits = 2)
df$sd <- round(df$sd, digits = 2)
df$ERT <- round(df$ERT, digits = 2)
df$ps <- round(df$ps, digits = 2)
df$target <- format_FV(df$target)
df
})
output$table_RT_summary <- DT::renderDataTable({
runtime_summary()
}, filter = list(position = 'top', clear = FALSE),
options = list(dom = 'lrtip', pageLength = 10, scrollX = T, server = T))
output$RTSummary.Statistics.Download <- downloadHandler(
filename = function() {
eval(RT_csv_name)
},
content = function(file) {
df <- runtime_summary()
df <- df[input[["table_RT_summary_rows_all"]]]
save_table(df, file)
}
)
get_RT <- reactive({
req(input$RTSummary.Sample.Min,
input$RTSummary.Sample.Max,
input$RTSummary.Sample.Step)
fstart <- format_FV(input$RTSummary.Sample.Min)
fstop <- format_FV(input$RTSummary.Sample.Max)
fstep <- format_FV(input$RTSummary.Sample.Step)
data <- DATA()
data <- subset(data, ID %in% input$RTSummary.Sample.ID)
if (!input$RTSummary.Sample.Single) {
req(fstart <= fstop, fstep <= fstop - fstart, length(data) > 0)
fall <- get_funvals(data)
fseq <- seq_FV(fall, fstart, fstop, fstep)
req(fseq)
}
else{
fseq <- fstart
}
df <- get_RT_sample(data, ftarget = fseq,
output = input$RTSummary.Sample.DownloadFormat)
df$target <- format_FV(df$target)
df[is.na(df)] <- 'NA'
df
})
output$RTSummary.Sample.Download <- downloadHandler(
filename = function() {
eval(RTSample_csv_name)
},
content = function(file) {
df <- get_RT()
df <- df[input[["table_RT_sample_rows_all"]]]
save_table(df, file)
}
)
output$table_RT_sample <- DT::renderDataTable({
df <- get_RT()
df[is.na(df)] <- 'NA'
df
}, filter = list(position = 'top', clear = FALSE),
options = list(dom = 'lrtip', pageLength = 10, scrollX = T, server = T))
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