readResultsAndComputeErrors: Function to read the result files and compute performance measures to create customized plots afterwards

Description

Function to read the result files and compute performance measures to create customized plots afterwards

readResultsAndComputeErrors(
  workingDir = getwd(),
  algoName = NULL,
  subset = "all",
  cutoffZ = 5,
  ...
)

(list) with (data frame) and a (list) with the computed performance measures

workingDir: (character) specifying the working directory: Plots will be stored in workingDir/evalFolder and results will be used from workingDir/Results/algoName/biomarker;
algoName: (character) vector specifying one algorithm for which the performance measures should be evaluated
subset: (character, numeric, or data.frame) to specify for which subset the algorithm should be executed. character options: 'all' (default) for all test sets, a distribution type: 'normal', 'skewed', 'heavilySkewed', 'shifted'; a biomarker: 'Hb', 'Ca', 'FT4', 'AST', 'LACT', 'GGT', 'TSH', 'IgE', 'CRP', 'LDH'; 'runtime' for runtime analysis subset; numeric option: number of test sets per biomarker, e.g. 10; data.frame: customized subset of table with test set specifications
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)
...: additional arguments to be passed to the method truncNormal (logical) specifying if a normal distribution truncated at zero shall be assumed