Nothing
ERT_comparison_box <- function(width = 12, collapsible = T, collapsed = T) {
box(title = HTML('<p style="font-size:120%;">Expected Runtime Comparisons (across functions on one dimension)</p>'),
width = width, collapsible = collapsible, solidHeader = TRUE,
status = "primary", collapsed = collapsed,
sidebarLayout(
sidebarPanel(
width = 2,
selectInput('ERTPlot.Aggr.Algs', label = 'Select which IDs to include:',
multiple = T, selected = NULL, choices = NULL) %>% shinyInput_label_embed(
custom_icon() %>%
bs_embed_popover(
title = "ID selection", content = alg_select_info,
placement = "auto"
)
),
selectInput('ERTPlot.Aggr.Funcs', label = 'Select which functions to aggregate over:',
multiple = T, selected = NULL, choices = NULL),
selectInput('ERTPlot.Aggr.Mode', label = 'Select the plotting mode',
choices = c('radar', 'line'), selected = 'radar'),
checkboxInput('ERTPlot.Aggr.Ranking',
label = 'Use ranking instead of ERT-values',
value = T),
checkboxInput('ERTPlot.Aggr.Logy',
label = 'Scale y axis \\(\\log_{10}\\)',
value = F),
actionButton("ERTPlot.Aggr.Refresh", "Refresh the figure and table"),
hr(),
selectInput('ERTPlot.Aggr.Format', label = 'Select the figure format',
choices = supported_fig_format, selected = supported_fig_format[[1]]),
downloadButton('ERTPlot.Aggr.Download', label = 'Download the figure'),
hr(),
selectInput('ERTPlot.Aggr.TableFormat', label = 'Select the table format',
choices = supported_table_format, selected = supported_table_format[[1]]),
downloadButton('ERTPlot.Aggr.DownloadTable', label = 'Download the table')
),
mainPanel(
width = 10,
column(
width = 12, align = "center",
HTML_P('The <b><i>ERT</i></b> of the runtime samples across all functions.
ERT is decided based on the target values in the table below,
with the default being the <b>best reached f(x) by any of the
selected algorithms</b>. When using a lineplot, <i>Infinite ERTS</i> are shown as
non-connected dots on the graph.'),
plotlyOutput.IOHanalyzer('ERTPlot.Aggr.Plot'),
hr(),
HTML_P("The chosen <b>target values</b> per function are as follows
(double click an entry to edit it):"),
DT::dataTableOutput("ERTPlot.Aggr.Targets"),
hr(),
HTML_P("The raw <b>ERT</b>-values are:"),
DT::dataTableOutput("ERTPlot.Aggr.ERTTable")
)
)
)
)
}
#TODO: combine with other function using proper namespacing and modularity
ERT_comparison_box_dim <- function(width = 12, collapsible = T, collapsed = T) {
box(title = HTML('<p style="font-size:120%;">Expected Runtime Comparisons (across dimensions)</p>'),
width = width, collapsible = collapsible, solidHeader = TRUE,
status = "primary", collapsed = collapsed,
sidebarLayout(
sidebarPanel(
width = 2,
selectInput('ERTPlot.Aggr_Dim.Algs', label = 'Select which IDs to include:',
multiple = T, selected = NULL, choices = NULL) %>% shinyInput_label_embed(
custom_icon() %>%
bs_embed_popover(
title = "ID selection", content = alg_select_info,
placement = "auto"
)
),
selectInput('ERTPlot.Aggr_Dim.Mode', label = 'Select the plotting mode',
choices = c('radar', 'line'), selected = 'line'),
checkboxInput('ERTPlot.Aggr_Dim.Ranking',
label = 'Use ranking instead of ERT-values',
value = F),
checkboxInput('ERTPlot.Aggr_Dim.Logy',
label = 'Scale y axis \\(\\log_{10}\\)',
value = T),
actionButton("ERTPlot.Aggr_Dim.Refresh", "Refresh the figure and table"),
hr(),
selectInput('ERTPlot.Aggr_Dim.Format', label = 'Select the figure format',
choices = supported_fig_format, selected = supported_fig_format[[1]]),
downloadButton('ERTPlot.Aggr_Dim.Download', label = 'Download the figure'),
hr(),
selectInput('ERTPlot.Aggr_Dim.TableFormat', label = 'Select the table format',
choices = supported_table_format, selected = supported_table_format[[1]]),
downloadButton('ERTPlot.Aggr_Dim.DownloadTable', label = 'Download the table')
),
mainPanel(
width = 10,
column(
width = 12, align = "center",
HTML_P('The <b><i>ERT</i></b> of the runtime samples across all functions.
ERT is decided based on the target values in the table below,
with the default being the <b>best reached f(x) by any of the
selected algorithms</b>. <i>Infinite ERTS</i> are shown as
seperate dots on the graph.'),
plotlyOutput.IOHanalyzer('ERTPlot.Aggr_Dim.Plot'),
hr(),
HTML_P("The chosen <b>target values</b> per dimension are as follows
(double click an entry to edit it):"),
DT::dataTableOutput("ERTPlot.Aggr_Dim.Targets"),
hr(),
HTML_P("The raw <b>ERT</b>-values are:"),
DT::dataTableOutput("ERTPlot.Aggr_Dim.ERTTable")
)
)
)
)
}
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