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This function generates a dataframe that can be used to generate the `cumulative_difference_plot`.
generate_data.CDP( dsList, runtime_or_target_value, isFixedBudget, alpha = 0.05, EPSILON = 1e-80, nOfBootstrapSamples = 1000 )
A dataframe with the data to generate the cumulative difference plot.
The DataSetList object. Note that the `cumulative_difference_plot` can only compare two algorithms in a single problem of dimension one.
The target runtime or the target value
Should be TRUE when target runtime is used. False otherwise.
1 minus the confidence level of the confidence band.
If abs(x-y) < EPSILON, then we assume that x = y.
The number of bootstrap samples used in the estimation.
dsl_sub <- subset(dsl, funcId == 1) generate_data.CDP(dsl_sub, 15, TRUE, nOfBootstrapSamples = 10)
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