allresults_processing: Interpretation of Aggregated BBoB Results
In andreas-he/cmaesbenchmarking: Benchmarking of cmaes Stopping Conditions

Description Usage Arguments Details Value

allresults_processing is a collection of functions for interpreting aggregated bbob results (i.e. a return object of aggregateResults).

getAggregatedConvergenceFunctions(results, nFunctions, nDimensions)

getAvgBestPerFunctionAndDimension(results, nFunctions, nDimensions)

getAvgBestPerFunction(results, nFunctions, nDimensions)

getAvgBestPerDimension(results, nFunctions, nDimensions)

`results`	`results` must be a return object of `aggregatedResults`, i.e. the aggregated results of several function optimizations.
`nFunctions`	the number of function for which data exists and results should be computed
`nDimensions`	the number of dimensions for which data exists and results should be computed (nDimensions is the total number of logged dimensions, i.e. `nDimensions` has to be a counting value, not the actual dimensionality)

The functions as defined above serve the following purposes:

getAggregatedConvergenceFunctions: A function that averages the convergence for each optimized function over all dimensions specified.
getAvgBestPerFunctionAndDimension: A function that averages the best results for each function and all dimensions specified.
getAvgBestPerFunction: A function that averages the best results for each function over all dimensions specified.
getAvgBestPerDimension: A function that averages the best results for each dimension over all functions specified.

The return objects are function specific and as follows:

`aggregatedConvergenceFunctions`	A matrix of the fitness gaps for each function averaged over all dimensions.
`getAvgBestPerFunctionAndDimension`	A vector that stores the average best value (mean over all instances) for each function and each dimension of that function.
`getAvgBestPerFunction`	A vector that stores the average best value (mean over all instances) for each function over (dimensions are not considered separately.
`getAvgBestPerDimension`	A vector that stores the average the best value for each dimension over all functions (functions are not considered separately).