ErrorCrit_KGE.R

ErrorCrit_KGE <- function(InputsCrit, OutputsModel, warnings = TRUE, verbose = TRUE) {

  ## Arguments check
  if (!inherits(OutputsModel, "OutputsModel")) {
    stop("'OutputsModel' must be of class 'OutputsModel'")
  }

  EC <- .ErrorCrit(InputsCrit = InputsCrit, Crit = "KGE", OutputsModel = OutputsModel, warnings = warnings)

  CritValue     <- NA
  SubCritValues <- rep(NA, 3)
  SubCritNames  <- c("r", "alpha", "beta")
  SubCritPrint  <- rep(NA, 3)

  if (EC$CritCompute) {
    ## Other variables preparation
    meanVarObs <- mean(EC$VarObs[!EC$TS_ignore])
    meanVarSim <- mean(EC$VarSim[!EC$TS_ignore])

    ## SubErrorCrit KGE rPearson
    SubCritPrint[1L] <- paste0(EC$CritName, " cor(sim, obs, \"pearson\") =")

    Numer <- sum((EC$VarObs[!EC$TS_ignore] - meanVarObs) * (EC$VarSim[!EC$TS_ignore] - meanVarSim))
    Deno1 <- sqrt(sum((EC$VarObs[!EC$TS_ignore] - meanVarObs) ^ 2))
    Deno2 <- sqrt(sum((EC$VarSim[!EC$TS_ignore] - meanVarSim) ^ 2))

    if (Numer == 0) {
      if (Deno1 == 0 & Deno2 == 0) {
        Crit <- 1
      } else {
        Crit <- 0
      }
    } else {
      Crit <- Numer / (Deno1 * Deno2)
    }
    if (is.numeric(Crit) & is.finite(Crit)) {
      SubCritValues[1L] <- Crit
    }

    ## SubErrorCrit KGE alpha
    SubCritPrint[2L] <- paste0(EC$CritName, " sd(sim)/sd(obs)          =")

    Numer <- sd(EC$VarSim[!EC$TS_ignore])
    Denom <- sd(EC$VarObs[!EC$TS_ignore])

    if (Numer == 0 & Denom == 0) {
      Crit <- 1
    } else {
      Crit <- Numer / Denom
    }
    if (is.numeric(Crit) & is.finite(Crit)) {
      SubCritValues[2L] <- Crit
    }

    ## SubErrorCrit KGE beta
    SubCritPrint[3L] <- paste0(EC$CritName, " mean(sim)/mean(obs)      =")

    if (meanVarSim == 0 & meanVarObs == 0) {
      Crit <- 1
    } else {
      Crit <- meanVarSim / meanVarObs
    }
    if (is.numeric(Crit) & is.finite(Crit)) {
      SubCritValues[3L] <- Crit
    }

    ## ErrorCrit
    if (sum(is.na(SubCritValues)) == 0) {
      CritValue <- (1 - sqrt((SubCritValues[1L] - 1)^2 + (SubCritValues[2L] - 1)^2 + (SubCritValues[3L] - 1)^2))
    }