Description Usage Arguments Value Examples
Create a plotly line plot out of a benchmarkVis compatible data table. The created line chart shows the change within the specified list measure for each iteration A cumulative function can be defined to get a better feeling of the course of the line chart. Possible parameters for the cumulative function are: "id" (identity function), "min", "max", "mean" - default is id.
1 2 | createListLinePlot(dt, list.measure, cumulative.function = "id",
show.histogram = FALSE, color.by = "algorithm", style.by = "problem")
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dt |
campatible data table |
list.measure |
the column name containing the list of a specific measure |
cumulative.function |
the cumulative function to use for the list measure (default: "id") |
show.histogram |
shows the histogram of the measure values in the background (default: FALSE) |
color.by |
defines the color of the line. Possibilities: "algorithm", "problem", "replication" (default: "algorithm") |
style.by |
defines the style of the line. Possibilities: "algorithm", "problem", "replication" (default: "problem") |
a plotly line plot
1 | createListLinePlot(microbenchmark.example, "list.values", "id", TRUE)
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