getBenchmarkResults: Computing benchmark table with the mean overall results.
In RIbench: Benchmark Suite for Indirect Methods for RI Estimation

getBenchmarkResults

R Documentation

Computing benchmark table with the mean overall results.

Description

Computing benchmark table with the mean overall results.

Usage

getBenchmarkResults(
  errorList,
  nameVec,
  tableTCs,
  errorParam = "zzDevAbsCutoff_Ov",
  cutoffZ = 5,
  catList = c("fractionPathol <= 0.20 & N <= 5000",
    "fractionPathol <= 0.20 & N > 5000", "fractionPathol >  0.20 & N <= 5000",
    "fractionPathol >  0.20 & N > 5000"),
  catLabels = c("lowPlowN", "lowPhighN", "highPlowN", "highPhighN"),
  perfCombination = c("mean", "median", "sum")
)

Arguments

`errorList`	(list) containing the the computed errors for the different (indirect) methods/algorithms
`nameVec`	(character) vector specifying the names of the different (indirect) methods/algorithms
`tableTCs`	(data.frame) containing all information about the simulated test sets
`errorParam`	(character) specifying for which error parameter the data frame should be generated
`cutoffZ`	(integer) specifying if and if so which cutoff for the absolute z-score deviation should be used to classify results as implausible and exclude them from the overall benchmark score (default: 5)
`catList`	(character) vector containing the categories to split the dataset
`catLabels`	(character) vector containing the labels that will be used for the categories
`perfCombination`	(character) specifying which measure should be used to compute the overall benchmark score; choose from "mean" (default), "median", or "sum"