calculate_prcc_for_all_measures: For all measures, calculate the prcc for each parameter

In kalden/spartan: Simulation Parameter Analysis R Toolkit ApplicatioN: 'spartan'

Description

For all measures, calculate the prcc for each parameter

Usage

calculate_prcc_for_all_measures(MEASURES, COEFFPARAMCOL, COEFFDATA,
  LHCRESULTFILE, cor_calc_method = c("s"), prcc_method = "mat")

Arguments

MEASURES	Simulation output responses
COEFFPARAMCOL	Results for the current simulation parameter
COEFFDATA	Coefficient data object being created
LHCRESULTFILE	Complete simulation results for all parameter sets
cor_calc_method	Way to calculate the correlation coefficient: Pearson's ("p"), Spearman's ("s"), and Kendall's ("k"). Default is p
prcc_method	Method to calculate the partial correlation coefficient, either variance-covariance matrix ("mat") or recursive formula ("rec"). Default mat

Value

Updated set of parameter correlation coefficient results

kalden/spartan documentation built on May 31, 2019, 11:52 p.m.