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postProc in calibMuso

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hollorol 2019-02-19 16:16:15 +01:00
parent cfd6a1f7be
commit eb23330d13
1 changed files with 72 additions and 66 deletions
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10
RBBGCMuso/R/calibration.R
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@ -41,7 +41,8 @@ optiMuso <- function(measuredData, parameters = NULL, startDate,
exp(-sqrt(mean((x-y)^2)))
},
continious,
modelVar = 3009)
modelVar = 3009,
postProcString = NULL)
{
dataCol <- grep(dataVar, colnames(measuredData))
@ -112,11 +113,16 @@ optiMuso <- function(measuredData, parameters = NULL, startDate,
write.csv(x=origModellOut, file=paste0(pretag,1,".csv"))
modellOut[1] <- likelihood(measuredData,origModellOut[modIndex,colNumb])
print("Running the model with the random epc values...", quote = FALSE)
if(!is.null(postProcString)){
colNumb <- length(settings$dailyVarCodes) + 1
}
for(i in 2:(iterations+1)){
tmp <- tryCatch(calibMuso(settings = settings,
parameters = randValues[(i-1),],
silent= TRUE,
skipSpinup = skipSpinup)[modIndex,colNumb], error = function (e) NA)
skipSpinup = skipSpinup, postProcString = postProcString)[modIndex,colNumb], error = function (e) NA)
modellOut[i]<- likelihood(measuredData,tmp)
rmse[i] <- sqrt(mean((measuredData-tmp)^2))