ErrorCrit_RMSE <- function(InputsCrit, OutputsModel, warnings = TRUE, verbose = TRUE) { ##Arguments_check________________________________ if (!inherits(InputsCrit, "InputsCrit")) { stop("InputsCrit must be of class 'InputsCrit' \n") return(NULL) } if (!inherits(OutputsModel, "OutputsModel")) { stop("OutputsModel must be of class 'OutputsModel' \n") return(NULL) } ##Initialisation_________________________________ CritName <- NA if (InputsCrit$transfo == "") { CritName <- "RMSE[Q]" } if (InputsCrit$transfo == "sqrt") { CritName <- "RMSE[sqrt(Q)]" } if (InputsCrit$transfo == "log") { CritName <- "RMSE[log(Q)]" } if (InputsCrit$transfo == "inv") { CritName <- "RMSE[1/Q]" } if (InputsCrit$transfo == "sort") { CritName <- "RMSE[sort(Q)]" } CritValue <- NA CritBestValue <- +1 Multiplier <- +1 ### must be equal to -1 or +1 only ##Data_preparation_______________________________ VarObs <- InputsCrit$Qobs VarObs[!InputsCrit$BoolCrit] <- NA VarSim <- OutputsModel$Qsim VarSim[!InputsCrit$BoolCrit] <- NA ##Data_transformation if (InputsCrit$transfo %in% c("log", "inv") & is.null(InputsCrit$epsilon) & verbose) { if (any(VarObs %in% 0)) { warning("zeroes detected in Qobs: the corresponding time-steps will be exclude from the criteria computation if the epsilon agrument of 'CreateInputsCrit' = NULL") } if (any(VarSim %in% 0)) { warning("zeroes detected in Qsim: the corresponding time-steps will be exclude from the criteria computation if the epsilon agrument of 'CreateInputsCrit' = NULL") } } if ("epsilon" %in% names(InputsCrit) & !is.null(InputsCrit$epsilon)) { VarObs <- VarObs + InputsCrit$epsilon VarSim <- VarSim + InputsCrit$epsilon } if (InputsCrit$transfo == "sqrt") { VarObs <- sqrt(VarObs) VarSim <- sqrt(VarSim) } if (InputsCrit$transfo == "log") { VarObs <- log(VarObs) VarSim <- log(VarSim) VarSim[VarSim < -1e100] <- NA } if (InputsCrit$transfo == "inv") { VarObs <- 1 / VarObs VarSim <- 1 / VarSim VarSim[abs(VarSim) > 1e+100] <- NA } if (InputsCrit$transfo == "sort") { VarSim[is.na(VarObs)] <- NA VarSim <- sort(VarSim, na.last = TRUE) VarObs <- sort(VarObs, na.last = TRUE) InputsCrit$BoolCrit <- sort(InputsCrit$BoolCrit, decreasing = TRUE) } ##TS_ignore TS_ignore <- !is.finite(VarObs) | !is.finite(VarSim) | !InputsCrit$BoolCrit Ind_TS_ignore <- which(TS_ignore) if (length(Ind_TS_ignore) == 0) { Ind_TS_ignore <- NULL } if (sum(!TS_ignore) == 0) { OutputsCrit <- list(NA) names(OutputsCrit) <- c("CritValue") return(OutputsCrit) } if (inherits(OutputsModel, "hourly")) { WarningTS <- 365 } if (inherits(OutputsModel, "daily")) { WarningTS <- 365 } if (inherits(OutputsModel, "monthly")) { WarningTS <- 12 } if (inherits(OutputsModel, "yearly")) { WarningTS <- 3 } if (sum(!TS_ignore) < WarningTS & warnings) { warning("\t criterion computed on less than ", WarningTS, " time-steps") } ##ErrorCrit______________________________________ Numer <- sum((VarSim - VarObs)^2, na.rm = TRUE) Denom <- sum(!is.na(VarObs)) if (Numer == 0) { Crit <- 0 } else { Crit <- sqrt(Numer / Denom) } if (is.numeric(Crit) & is.finite(Crit)) { CritValue <- Crit } ##Verbose______________________________________ if (verbose) { message("Crit. ", CritName, " = ", sprintf("%.4f", CritValue)) } ##Output_________________________________________ OutputsCrit <- list(CritValue = CritValue, CritName = CritName, CritBestValue = CritBestValue, Multiplier = Multiplier, Ind_notcomputed = Ind_TS_ignore ) return(OutputsCrit) }