RIbench (version 1.0.2)

getBenchmarkResults: 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=""> 5000", "fractionPathol >  0.20 & N <= 5000",="" "fractionpathol="">  0.20 & N > 5000"),
  catLabels = c("lowPlowN", "lowPhighN", "highPlowN", "highPhighN"),
  perfCombination = c("mean", "median", "sum")
)

Value

(data frame) containing the computed benchmark results

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"

Author

Tatjana Ammer