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postproc fix

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This commit is contained in:
Roland Hollós 2020-01-03 14:51:49 +01:00
parent 9d45a2d03e
commit 31161bb7d2
3 changed files with 8 additions and 2 deletions
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4
RBBGCMuso/R/postProcString.R
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@ -1,3 +1,7 @@
#' postProcMuso
#'
#' This is a function wich provides some minimal post processing capabilities
#' @keywords internal
postProcMuso <- function(modelData, procString){ postProcMuso <- function(modelData, procString){
modelDat <- modelData[,-(1:4)] modelDat <- modelData[,-(1:4)]
cNames <- colnames(modelData) cNames <- colnames(modelData)

3
RBBGCMuso/man/musoMonte.Rd
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@ -8,7 +8,8 @@ musoMonte(settings = NULL, parameters = NULL, inputDir = "./",
outLoc = "./calib", iterations = 10, preTag = "mont-", outLoc = "./calib", iterations = 10, preTag = "mont-",
outputType = "moreCsv", fun = mean, varIndex = 1, outVars = NULL, outputType = "moreCsv", fun = mean, varIndex = 1, outVars = NULL,
silent = TRUE, skipSpinup = TRUE, debugging = FALSE, silent = TRUE, skipSpinup = TRUE, debugging = FALSE,
keepEpc = FALSE, constrains = NULL, ...) keepEpc = FALSE, constrains = NULL, skipZero = TRUE,
postProcString = NULL, ...)
} }
\arguments{ \arguments{
\item{settings}{A list of environmental variables for the Monte Carlo experiment. These settings are generated by the setupMuso function. By default the settings parameter is generated automatically.} \item{settings}{A list of environmental variables for the Monte Carlo experiment. These settings are generated by the setupMuso function. By default the settings parameter is generated automatically.}

3
RBBGCMuso/man/musoSensi.Rd
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@ -9,7 +9,8 @@ musoSensi(monteCarloFile = NULL, parameters = NULL, settings = NULL,
iterations = 30, preTag = "mont-", outputType = "moreCsv", iterations = 30, preTag = "mont-", outputType = "moreCsv",
fun = mean, varIndex = 1, outputFile = "sensitivity.csv", fun = mean, varIndex = 1, outputFile = "sensitivity.csv",
plotName = "sensitivity.png", plotTitle = "Sensitivity", plotName = "sensitivity.png", plotTitle = "Sensitivity",
skipSpinup = TRUE, dpi = 300) skipSpinup = TRUE, skipZero = TRUE, postProcString = NULL,
dpi = 300)
} }
\arguments{ \arguments{
\item{parameters}{This is a dataframe (heterogen data-matrix), which first column is the name of the parameters, the second is a numeric vector of the rownumbers of the given variable in the epc-fie, the last two column consist the endpont of the parameter-ranges, where the parameters will be randomized.} \item{parameters}{This is a dataframe (heterogen data-matrix), which first column is the name of the parameters, the second is a numeric vector of the rownumbers of the given variable in the epc-fie, the last two column consist the endpont of the parameter-ranges, where the parameters will be randomized.}