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Commit 7c3ee989 authored by Delaigue Olivier's avatar Delaigue Olivier
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v1.0.13.2 ErrorCrit_KGE2 cleaned

parent 595a2e0d
dev 115-add-pcict-date-format-managment 118-plot-outputsmodel-remove-case-sensitivity-to-the-which-argument 136-decreased-performance-of-calibration-execution-time 161-runmodel_lag-proposal-for-a-better-transformation-and-screening-of-the-parameters 165-add-missing-isintstore-argument-in-createcaliboptions 171-check-error-direct-call-of-as-data-frame-posixct-is-deprecated-use-as-data-frame-vector-or-as 191-speed-up-runmodel_lag-when-it-is-used-alone 33-merge-airgr-and-airgrplus-functions 60-migrate-transfoparam-functions-and-createcaliboptions-to-s3-methods 96-parallelize-the-grid-screening-step-during-calibration airGRplus master rmOptions CRAN_v1.7.6 CRAN_v1.7.5 CRAN_v1.7.4 CRAN_v1.7.3 CRAN_v1.7.2 CRAN_v1.7.1 CRAN_v1.7.0 CRAN_v1.6.12 CRAN_v1.6.11 CRAN_v1.6.10.4 CRAN_v1.6.9.27 CRAN_v1.6.9.24 CRAN_v1.6.9.23 CRAN_v1.6.9.21 CRAN_v1.4.3.65 CRAN_v1.4.3.60 CRAN_v1.4.3.52 CRAN_v1.3.2.42 CRAN_v1.3.2.41 CRAN_v1.3.2.40 CRAN_v1.3.2.39 CRAN_v1.3.2.23 CRAN_v1.3.2.17 CRAN_v1.2.13.16 CRAN_v1.2.13.13 CRAN_v1.0.14.1 CRAN_v1.0.13.19
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DESCRIPTION
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Package: airGR
Type: Package
Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Version: 1.0.13.1
Version: 1.0.13.2
Date: 2018-08-29
Authors@R: c(
person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
......
NEWS.rmd
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......@@ -14,7 +14,7 @@ output:
### 1.0.13.1 Release Notes (2018-08-29)
### 1.0.13.2 Release Notes (2018-08-29)
#### Deprectated and defunct
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R/ErrorCrit_KGE2.R
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ErrorCrit_KGE2 <- function(InputsCrit,OutputsModel, warnings = TRUE, verbose = TRUE){
##Arguments_check________________________________
if(inherits(InputsCrit,"InputsCrit")==FALSE){ stop("InputsCrit must be of class 'InputsCrit' \n"); return(NULL); }
if(inherits(OutputsModel,"OutputsModel")==FALSE){ stop("OutputsModel must be of class 'OutputsModel' \n"); return(NULL); }
##Initialisation_________________________________
CritName <- NA;
if(InputsCrit$transfo=="" ){ CritName <- "KGE'[Q]" ; }
if(InputsCrit$transfo=="sqrt"){ CritName <- "KGE'[sqrt(Q)]"; }
if(InputsCrit$transfo=="log" ){ CritName <- "KGE'[log(Q)]" ; }
if(InputsCrit$transfo=="inv" ){ CritName <- "KGE'[1/Q]" ; }
if(InputsCrit$transfo=="sort"){ CritName <- "KGE'[sort(Q)]"; }
CritValue <- NA;
CritBestValue <- +1;
Multiplier <- -1; ### must be equal to -1 or +1 only
##Data_preparation_______________________________
VarObs <- InputsCrit$Qobs ; VarObs[!InputsCrit$BoolCrit] <- NA;
VarSim <- OutputsModel$Qsim; VarSim[!InputsCrit$BoolCrit] <- NA;
##Data_transformation
if("Ind_zeroes" %in% names(InputsCrit) & "epsilon" %in% names(InputsCrit)){ if(length(InputsCrit$Ind_zeroes)>0){
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(sum(!TS_ignore)==1){ OutputsCrit <- list(NA); names(OutputsCrit) <- c("CritValue"); return(OutputsCrit); } ### to avoid a problem in standard deviation computation
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") }
##Other_variables_preparation
meanVarObs <- mean(VarObs[!TS_ignore]);
meanVarSim <- mean(VarSim[!TS_ignore]);
iCrit <- 0
SubCritPrint <- NULL
SubCritNames <- NULL
SubCritValues <- NULL
##SubErrorCrit_____KGE_rPearson__________________
iCrit <- iCrit+1;
SubCritPrint[iCrit] <- paste(CritName," cor(sim, obs, \"pearson\") =", sep = "")
SubCritNames[iCrit] <- "r"
SubCritValues[iCrit] <- NA;
Numer <- sum( (VarObs[!TS_ignore]-meanVarObs)*(VarSim[!TS_ignore]-meanVarSim) );
Deno1 <- sqrt( sum((VarObs[!TS_ignore]-meanVarObs)^2) );
Deno2 <- sqrt( sum((VarSim[!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[iCrit] <- Crit; }
##SubErrorCrit_____KGE_gamma______________________
iCrit <- iCrit+1;
SubCritPrint[iCrit] <- paste(CritName," cv(sim)/cv(obs) =", sep = "")
SubCritNames[iCrit] <- "gamma"
SubCritValues[iCrit] <- NA;
if(meanVarSim==0){ if(sd(VarSim[!TS_ignore])==0){ CVsim <- 1; } else { CVsim <- 99999; } } else { CVsim <- sd(VarSim[!TS_ignore])/meanVarSim; }
if(meanVarObs==0){ if(sd(VarObs[!TS_ignore])==0){ CVobs <- 1; } else { CVobs <- 99999; } } else { CVobs <- sd(VarObs[!TS_ignore])/meanVarObs; }
if(CVsim==0 & CVobs==0){ Crit <- 1; } else { Crit <- CVsim/CVobs ; }
if(is.numeric(Crit) & is.finite(Crit)){ SubCritValues[iCrit] <- Crit; }
##SubErrorCrit_____KGE_beta______________________
iCrit <- iCrit+1;
SubCritPrint[iCrit] <- paste(CritName," mean(sim)/mean(obs) =", sep = "")
SubCritNames[iCrit] <- "beta"
SubCritValues[iCrit] <- NA;
if(meanVarSim==0 & meanVarObs==0){ Crit <- 1; } else { Crit <- meanVarSim/meanVarObs ; }
if(is.numeric(Crit) & is.finite(Crit)){ SubCritValues[iCrit] <- Crit; }
ErrorCrit_KGE2 <- function(InputsCrit, OutputsModel, warnings = TRUE, verbose = TRUE) {
##ErrorCrit______________________________________
if(sum(is.na(SubCritValues))==0){
CritValue <- ( 1 - sqrt( (SubCritValues[1]-1)^2 + (SubCritValues[2]-1)^2 + (SubCritValues[3]-1)^2 ) );
}
##Verbose______________________________________
if(verbose) {
message("Crit. ", CritName, " = ", sprintf("%.4f", CritValue))
message(paste("\tSubCrit.", SubCritPrint, sprintf("%.4f", SubCritValues), "\n", sep = " "))
##Arguments_check________________________________
if (inherits(InputsCrit, "InputsCrit") == FALSE) {
stop("InputsCrit must be of class 'InputsCrit' \n")
return(NULL)
}
if (inherits(OutputsModel, "OutputsModel") == FALSE) {
stop("OutputsModel must be of class 'OutputsModel' \n")
return(NULL)
}
##Initialisation_________________________________
CritName <- NA
if (InputsCrit$transfo == "") {
CritName <- "KGE'[Q]"
}
if (InputsCrit$transfo == "sqrt") {
CritName <- "KGE'[sqrt(Q)]"
}
if (InputsCrit$transfo == "log") {
CritName <- "KGE'[log(Q)]"
}
if (InputsCrit$transfo == "inv") {
CritName <- "KGE'[1/Q]"
}
if (InputsCrit$transfo == "sort") {
CritName <- "KGE'[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 ("Ind_zeroes" %in% names(InputsCrit) & "epsilon" %in% names(InputsCrit)) {
if (length(InputsCrit$Ind_zeroes) > 0) {
VarObs <- VarObs + InputsCrit$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 (sum(!TS_ignore) == 1) {
OutputsCrit <- list(NA)
names(OutputsCrit) <- c("CritValue")
return(OutputsCrit)
} ### to avoid a problem in standard deviation computation
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")
}
##Other_variables_preparation
meanVarObs <- mean(VarObs[!TS_ignore])
meanVarSim <- mean(VarSim[!TS_ignore])
iCrit <- 0
SubCritPrint <- NULL
SubCritNames <- NULL
SubCritValues <- NULL
##SubErrorCrit_____KGE_rPearson__________________
iCrit <- iCrit + 1
SubCritPrint[iCrit] <- paste(CritName, " cor(sim, obs, \"pearson\") =", sep = "")
SubCritValues[iCrit] <- NA
SubCritNames[iCrit] <- "r"
Numer <- sum((VarObs[!TS_ignore] - meanVarObs) * (VarSim[!TS_ignore] - meanVarSim))
Deno1 <- sqrt(sum((VarObs[!TS_ignore] - meanVarObs)^2))
Deno2 <- sqrt(sum((VarSim[!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[iCrit] <- Crit
}
##SubErrorCrit_____KGE_gamma______________________
iCrit <- iCrit + 1
SubCritPrint[iCrit] <- paste(CritName, " cv(sim)/cv(obs) =", sep = "")
SubCritValues[iCrit] <- NA
SubCritNames[iCrit] <- "gamma"
if (meanVarSim == 0) {
if (sd(VarSim[!TS_ignore]) == 0) {
CVsim <- 1
} else {
CVsim <- 99999
}
} else {
CVsim <- sd(VarSim[!TS_ignore]) / meanVarSim
}
if (meanVarObs == 0) {
if (sd(VarObs[!TS_ignore]) == 0) {
CVobs <- 1
} else {
CVobs <- 99999
}
} else {
CVobs <- sd(VarObs[!TS_ignore]) / meanVarObs
}
if (CVsim == 0 &
CVobs == 0) {
Crit <- 1
} else {
Crit <- CVsim / CVobs
}
if (is.numeric(Crit) & is.finite(Crit)) {
SubCritValues[iCrit] <- Crit
}
##SubErrorCrit_____KGE_beta______________________
iCrit <- iCrit + 1
SubCritPrint[iCrit] <- paste(CritName, " mean(sim)/mean(obs) =", sep = "")
SubCritValues[iCrit] <- NA
SubCritNames[iCrit] <- "beta"
if (meanVarSim == 0 & meanVarObs == 0) {
Crit <- 1
} else {
Crit <- meanVarSim / meanVarObs
}
if (is.numeric(Crit) & is.finite(Crit)) {
SubCritValues[iCrit] <- Crit
}
##ErrorCrit______________________________________
if (sum(is.na(SubCritValues)) == 0) {
CritValue <- (1 - sqrt((SubCritValues[1] - 1)^2 + (SubCritValues[2] - 1)^2 + (SubCritValues[3] - 1)^2))
}
##Verbose______________________________________
if (verbose) {
message("Crit. ", CritName, " = ", sprintf("%.4f", CritValue))
message(paste("\tSubCrit.", SubCritPrint, sprintf("%.4f", SubCritValues), "\n", sep = " "))
}
##Output_________________________________________
OutputsCrit <- list(CritValue = CritValue,
CritName = CritName,
SubCritValues = SubCritValues,
SubCritNames = SubCritNames,
CritBestValue = CritBestValue,
Multiplier = Multiplier,
Ind_notcomputed = Ind_TS_ignore
)
return(OutputsCrit)
}
##Output_________________________________________
OutputsCrit <- list(CritValue = CritValue, CritName = CritName,
SubCritValues = SubCritValues, SubCritNames = SubCritNames, CritBestValue = CritBestValue,
Multiplier = Multiplier, Ind_notcomputed = Ind_TS_ignore)
return(OutputsCrit)
}
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