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Commit f53b6a57 authored by Delaigue Olivier's avatar Delaigue Olivier
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v1.2.7.2 CLEAN: remove \n at the ends of error and warning messages

parent dd45d335
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DESCRIPTION
View file @ f53b6a57
Package: airGR
Type: Package
Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Version: 1.2.7.1
Date: 2019-02-28
Version: 1.2.7.2
Date: 2019-03-01
Authors@R: c(
person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
person("Charles", "Perrin", role = c("aut", "ths"), comment = c(ORCID = "0000-0001-8552-1881")),
......
NEWS.rmd
View file @ f53b6a57
......@@ -13,7 +13,7 @@ output:
### 1.2.7.1 Release Notes (2019-02-28)
### 1.2.7.2 Release Notes (2019-03-01)
......
R/Calibration_Michel.R
View file @ f53b6a57
......@@ -4,27 +4,27 @@ Calibration_Michel <- function(InputsModel, RunOptions, InputsCrit, CalibOptions
##_____Arguments_check_____________________________________________________________________
if (!inherits(InputsModel, "InputsModel")) {
stop("InputsModel must be of class 'InputsModel' \n")
stop("InputsModel must be of class 'InputsModel'")
return(NULL)
}
if (!inherits(RunOptions, "RunOptions")) {
stop("RunOptions must be of class 'RunOptions' \n")
stop("RunOptions must be of class 'RunOptions'")
return(NULL)
}
if (!inherits(InputsCrit, "InputsCrit")) {
stop("InputsCrit must be of class 'InputsCrit' \n")
stop("InputsCrit must be of class 'InputsCrit'")
return(NULL)
}
if (inherits(InputsCrit, "Multi")) {
stop("InputsCrit must be of class 'Single' or 'Compo' \n")
stop("InputsCrit must be of class 'Single' or 'Compo'")
return(NULL)
}
if (!inherits(CalibOptions, "CalibOptions")) {
stop("CalibOptions must be of class 'CalibOptions' \n")
stop("CalibOptions must be of class 'CalibOptions'")
return(NULL)
}
if (!inherits(CalibOptions, "HBAN")) {
stop("CalibOptions must be of class 'HBAN' if Calibration_Michel is used \n")
stop("CalibOptions must be of class 'HBAN' if Calibration_Michel is used")
return(NULL)
}
if (!missing(FUN_CRIT)) {
......@@ -91,7 +91,7 @@ Calibration_Michel <- function(InputsModel, RunOptions, InputsCrit, CalibOptions
}
}
if (is.null(FUN_TRANSFO)) {
stop("FUN_TRANSFO was not found (in Calibration function) \n")
stop("FUN_TRANSFO was not found (in Calibration function)")
return(NULL)
}
}
......@@ -114,7 +114,7 @@ Calibration_Michel <- function(InputsModel, RunOptions, InputsCrit, CalibOptions
NParam <- ncol(CalibOptions$StartParamDistrib)
}
if (NParam > 20) {
stop("Calibration_Michel can handle a maximum of 20 parameters \n")
stop("Calibration_Michel can handle a maximum of 20 parameters")
return(NULL)
}
HistParamR <- matrix(NA, nrow = 500 * NParam, ncol = NParam)
......@@ -237,11 +237,11 @@ Calibration_Michel <- function(InputsModel, RunOptions, InputsCrit, CalibOptions
ProposeCandidatesLoc <- function(NewParamOptimT, OldParamOptimT, RangesT, OptimParam,Pace) {
##Format_checking
if (nrow(NewParamOptimT) != 1 | nrow(OldParamOptimT) != 1) {
stop("each input set must be a matrix of one single line \n")
stop("each input set must be a matrix of one single line")
return(NULL)
}
if (ncol(NewParamOptimT)!=ncol(OldParamOptimT) | ncol(NewParamOptimT) != length(OptimParam)) {
stop("each input set must have the same number of values \n")
stop("each input set must have the same number of values")
return(NULL)
}
##Proposal_of_new_parameter_sets ###(local search providing 2 * NParam-1 new sets)
......
R/CreateCalibOptions.R
View file @ f53b6a57
......@@ -54,7 +54,7 @@ CreateCalibOptions <-
BOOL <- TRUE
}
if (!BOOL) {
stop("incorrect FUN_MOD for use in CreateCalibOptions \n")
stop("incorrect FUN_MOD for use in CreateCalibOptions")
return(NULL)
}
......@@ -66,7 +66,7 @@ CreateCalibOptions <-
BOOL <- TRUE
}
if (!BOOL) {
stop("incorrect FUN_CALIB for use in CreateCalibOptions \n")
stop("incorrect FUN_CALIB for use in CreateCalibOptions")
return(NULL)
}
......@@ -99,7 +99,7 @@ CreateCalibOptions <-
FUN1 <- TransfoParam_CemaNeige
}
if (is.null(FUN1)) {
stop("FUN1 was not found \n")
stop("FUN1 was not found")
return(NULL)
}
##_set_FUN2
......@@ -130,7 +130,7 @@ CreateCalibOptions <-
}
}
if (is.null(FUN_TRANSFO)) {
stop("FUN_TRANSFO was not found \n")
stop("FUN_TRANSFO was not found")
return(NULL)
}
......@@ -171,19 +171,19 @@ CreateCalibOptions <-
FixedParam <- rep(NA, NParam)
} else {
if (!is.vector(FixedParam)) {
stop("FixedParam must be a vector \n")
stop("FixedParam must be a vector")
return(NULL)
}
if (length(FixedParam) != NParam) {
stop("Incompatibility between FixedParam length and FUN_MOD \n")
stop("Incompatibility between FixedParam length and FUN_MOD")
return(NULL)
}
if (all(!is.na(FixedParam))) {
stop("At least one parameter must be not set (NA) \n")
stop("At least one parameter must be not set (NA)")
return(NULL)
}
if (all(is.na(FixedParam))) {
warning("You have not set any parameter in \"FixedParam\" \n")
warning("You have not set any parameter in \"FixedParam\"")
}
}
......@@ -196,23 +196,23 @@ CreateCalibOptions <-
} else {
if (!is.matrix(SearchRanges)) {
stop("SearchRanges must be a matrix \n")
stop("SearchRanges must be a matrix")
return(NULL)
}
if (!is.numeric(SearchRanges)) {
stop("SearchRanges must be a matrix of numeric values \n")
stop("SearchRanges must be a matrix of numeric values")
return(NULL)
}
if (sum(is.na(SearchRanges)) != 0) {
stop("SearchRanges must not include NA values \n")
stop("SearchRanges must not include NA values")
return(NULL)
}
if (nrow(SearchRanges) != 2) {
stop("SearchRanges must have 2 rows \n")
stop("SearchRanges must have 2 rows")
return(NULL)
}
if (ncol(SearchRanges) != NParam) {
stop("Incompatibility between SearchRanges ncol and FUN_MOD \n")
stop("Incompatibility between SearchRanges ncol and FUN_MOD")
return(NULL)
}
}
......@@ -279,37 +279,37 @@ CreateCalibOptions <-
##check_StartParamList_and_StartParamDistrib__format
if ("HBAN" %in% ObjectClass & !is.null(StartParamList)) {
if (!is.matrix(StartParamList)) {
stop("StartParamList must be a matrix \n")
stop("StartParamList must be a matrix")
return(NULL)
}
if (!is.numeric(StartParamList)) {
stop("StartParamList must be a matrix of numeric values \n")
stop("StartParamList must be a matrix of numeric values")
return(NULL)
}
if (sum(is.na(StartParamList)) != 0) {
stop("StartParamList must not include NA values \n")
stop("StartParamList must not include NA values")
return(NULL)
}
if (ncol(StartParamList) != NParam) {
stop("Incompatibility between StartParamList ncol and FUN_MOD \n")
stop("Incompatibility between StartParamList ncol and FUN_MOD")
return(NULL)
}
}
if ("HBAN" %in% ObjectClass & !is.null(StartParamDistrib)) {
if (!is.matrix(StartParamDistrib)) {
stop("StartParamDistrib must be a matrix \n")
stop("StartParamDistrib must be a matrix")
return(NULL)
}
if (!is.numeric(StartParamDistrib[1, ])) {
stop("StartParamDistrib must be a matrix of numeric values \n")
stop("StartParamDistrib must be a matrix of numeric values")
return(NULL)
}
if (sum(is.na(StartParamDistrib[1, ])) != 0) {
stop("StartParamDistrib must not include NA values on the first line \n")
stop("StartParamDistrib must not include NA values on the first line")
return(NULL)
}
if (ncol(StartParamDistrib) != NParam) {
stop("Incompatibility between StartParamDistrib ncol and FUN_MOD \n")
stop("Incompatibility between StartParamDistrib ncol and FUN_MOD")
return(NULL)
}
}
......
R/CreateInputsCrit.R
View file @ f53b6a57
......@@ -39,7 +39,7 @@ CreateInputsCrit <- function(FUN_CRIT,
## check 'InputsModel'
if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel' \n")
stop("'InputsModel' must be of class 'InputsModel'")
return(NULL)
}
......@@ -51,7 +51,7 @@ CreateInputsCrit <- function(FUN_CRIT,
## check 'obs'
vecObs <- unlist(obs)
if (length(vecObs) %% LLL != 0 | !is.numeric(vecObs)) {
stop(sprintf("'obs' must be a (list of) vector(s) of numeric values of length %i \n", LLL), call. = FALSE)
stop(sprintf("'obs' must be a (list of) vector(s) of numeric values of length %i", LLL), call. = FALSE)
}
if (!is.list(obs)) {
obs <- list(obs)
......@@ -108,14 +108,14 @@ CreateInputsCrit <- function(FUN_CRIT,
## check 'RunOptions'
if (!inherits(RunOptions , "RunOptions")) {
stop("'RunOptions' must be of class 'RunOptions' \n")
stop("'RunOptions' must be of class 'RunOptions'")
return(NULL)
}
## check 'weights'
if (length(listArgs$weights) > 1 & sum(unlist(listArgs$weights)) == 0 & !any(sapply(listArgs$weights, is.null))) {
stop("sum of 'weights' cannot be equal to zero \n")
stop("sum of 'weights' cannot be equal to zero")
}
......@@ -125,10 +125,10 @@ CreateInputsCrit <- function(FUN_CRIT,
## preparation of warning messages
inVarObs <- c("Q", "SCA", "SWE", "SD")
msgVarObs <- "'varObs' must be a (list of) character vector(s) and one of %s \n"
msgVarObs <- "'varObs' must be a (list of) character vector(s) and one of %s"
msgVarObs <- sprintf(msgVarObs, paste(sapply(inVarObs, shQuote), collapse = ", "))
inTransfo <- c("", "sqrt", "log", "inv", "sort")
msgTransfo <- "'transfo' must be a (list of) character vector(s) and one of %s \n"
msgTransfo <- "'transfo' must be a (list of) character vector(s) and one of %s"
msgTransfo <- sprintf(msgTransfo, paste(sapply(inTransfo, shQuote), collapse = ", "))
......@@ -139,17 +139,17 @@ CreateInputsCrit <- function(FUN_CRIT,
## check 'FUN_CRIT'
if (!(identical(iListArgs2$FUN_CRIT, ErrorCrit_NSE ) | identical(iListArgs2$FUN_CRIT, ErrorCrit_KGE ) |
identical(iListArgs2$FUN_CRIT, ErrorCrit_KGE2) | identical(iListArgs2$FUN_CRIT, ErrorCrit_RMSE))) {
stop("incorrect 'FUN_CRIT' for use in 'CreateInputsCrit' \n", call. = FALSE)
stop("incorrect 'FUN_CRIT' for use in 'CreateInputsCrit'", call. = FALSE)
return(NULL)
}
if (identical(iListArgs2$FUN_CRIT, ErrorCrit_RMSE) & length(listArgs$weights) > 1 & all(!is.null(unlist(listArgs$weights)))) {
stop("calculating a composite criterion with the RMSE is not allowed since RMSE is not an adimensional measure \n", call. = FALSE)
stop("calculating a composite criterion with the RMSE is not allowed since RMSE is not an adimensional measure", call. = FALSE)
return(NULL)
}
## check 'obs'
if (!is.vector(iListArgs2$obs) | length(iListArgs2$obs) != LLL | !is.numeric(iListArgs2$obs)) {
stop(sprintf("'obs' must be a (list of) vector(s) of numeric values of length %i \n", LLL), call. = FALSE)
stop(sprintf("'obs' must be a (list of) vector(s) of numeric values of length %i", LLL), call. = FALSE)
return(NULL)
}
......@@ -158,11 +158,11 @@ CreateInputsCrit <- function(FUN_CRIT,
iListArgs2$BoolCrit <- rep(TRUE, length(iListArgs2$obs))
}
if (!is.logical(iListArgs2$BoolCrit)) {
stop("'BoolCrit' must be a (list of) vector(s) of boolean \n", call. = FALSE)
stop("'BoolCrit' must be a (list of) vector(s) of boolean", call. = FALSE)
return(NULL)
}
if (length(iListArgs2$BoolCrit) != LLL) {
stop("'BoolCrit' and 'InputsModel' series must have the same length \n", call. = FALSE)
stop("'BoolCrit' and 'InputsModel' series must have the same length", call. = FALSE)
return(NULL)
}
......@@ -199,7 +199,7 @@ CreateInputsCrit <- function(FUN_CRIT,
## check 'weights'
if (!is.null(iListArgs2$weights)) {
if (!is.vector(iListArgs2$weights) | length(iListArgs2$weights) != 1 | !is.numeric(iListArgs2$weights) | any(iListArgs2$weights < 0)) {
stop("'weights' must be a single (list of) positive or equal to zero value(s) \n", call. = FALSE)
stop("'weights' must be a single (list of) positive or equal to zero value(s)", call. = FALSE)
return(NULL)
}
}
......@@ -207,7 +207,7 @@ CreateInputsCrit <- function(FUN_CRIT,
## check 'epsilon'
if (!is.null(iListArgs2$epsilon)) {
if (!is.vector(iListArgs2$epsilon) | length(iListArgs2$epsilon) != 1 | !is.numeric(iListArgs2$epsilon) | any(iListArgs2$epsilon <= 0)) {
stop("'epsilon' must be a single (list of) positive value(s) \n", call. = FALSE)
stop("'epsilon' must be a single (list of) positive value(s)", call. = FALSE)
return(NULL)
}
} else if (iListArgs2$transfo %in% c("log", "inv") & any(iListArgs2$obs %in% 0) & warnings) {
......
R/CreateInputsModel.R
View file @ f53b6a57
......@@ -58,18 +58,18 @@ CreateInputsModel <- function(FUN_MOD,
BOOL <- TRUE
}
if (!BOOL) {
stop("Incorrect FUN_MOD for use in CreateInputsModel \n")
stop("Incorrect FUN_MOD for use in CreateInputsModel")
return(NULL)
}
##check_arguments
if ("GR" %in% ObjectClass | "CemaNeige" %in% ObjectClass) {
if (is.null(DatesR)) {
stop("DatesR is missing \n")
stop("DatesR is missing")
return(NULL)
}
if ("POSIXlt" %in% class(DatesR) == FALSE & "POSIXct" %in% class(DatesR) == FALSE) {
stop("DatesR must be defined as POSIXlt or POSIXct \n")
stop("DatesR must be defined as POSIXlt or POSIXct")
return(NULL)
}
if ("POSIXlt" %in% class(DatesR) == FALSE) {
......@@ -81,103 +81,103 @@ CreateInputsModel <- function(FUN_MOD,
return(NULL)
}
if (any(duplicated(DatesR))) {
stop("DatesR must not include duplicated values \n")
stop("DatesR must not include duplicated values")
return(NULL)
}
LLL <- length(DatesR)
}
if ("GR" %in% ObjectClass) {
if (is.null(Precip)) {
stop("Precip is missing \n")
stop("Precip is missing")
return(NULL)
}
if (is.null(PotEvap)) {
stop("PotEvap is missing \n")
stop("PotEvap is missing")
return(NULL)
}
if (!is.vector(Precip) | !is.vector(PotEvap)) {
stop("Precip and PotEvap must be vectors of numeric values \n")
stop("Precip and PotEvap must be vectors of numeric values")
return(NULL)
}
if (!is.numeric(Precip) | !is.numeric(PotEvap)) {
stop("Precip and PotEvap must be vectors of numeric values \n")
stop("Precip and PotEvap must be vectors of numeric values")
return(NULL)
}
if (length(Precip) != LLL | length(PotEvap) != LLL) {
stop("Precip, PotEvap and DatesR must have the same length \n")
stop("Precip, PotEvap and DatesR must have the same length")
return(NULL)
}
}
if ("CemaNeige" %in% ObjectClass) {
if (is.null(Precip)) {
stop("Precip is missing \n")
stop("Precip is missing")
return(NULL)
}
if (is.null(TempMean)) {
stop("TempMean is missing \n")
stop("TempMean is missing")
return(NULL)
}
if (!is.vector(Precip) | !is.vector(TempMean)) {
stop("Precip and TempMean must be vectors of numeric values \n")
stop("Precip and TempMean must be vectors of numeric values")
return(NULL)
}
if (!is.numeric(Precip) | !is.numeric(TempMean)) {
stop("Precip and TempMean must be vectors of numeric values \n")
stop("Precip and TempMean must be vectors of numeric values")
return(NULL)
}
if (length(Precip) != LLL | length(TempMean) != LLL) {
stop("Precip, TempMean and DatesR must have the same length \n")
stop("Precip, TempMean and DatesR must have the same length")
return(NULL)
}
if (is.null(TempMin) != is.null(TempMax)) {
stop("TempMin and TempMax must be both defined if not null \n")
stop("TempMin and TempMax must be both defined if not null")
return(NULL)
}
if (!is.null(TempMin) & !is.null(TempMax)) {
if (!is.vector(TempMin) | !is.vector(TempMax)) {
stop("TempMin and TempMax must be vectors of numeric values \n")
stop("TempMin and TempMax must be vectors of numeric values")
return(NULL)
}
if (!is.numeric(TempMin) | !is.numeric(TempMax)) {
stop("TempMin and TempMax must be vectors of numeric values \n")
stop("TempMin and TempMax must be vectors of numeric values")
return(NULL)
}
if (length(TempMin) != LLL | length(TempMax) != LLL) {
stop("TempMin, TempMax and DatesR must have the same length \n")
stop("TempMin, TempMax and DatesR must have the same length")
return(NULL)
}
}
if (!is.null(HypsoData)) {
if (!is.vector(HypsoData)) {
stop("HypsoData must be a vector of numeric values if not null \n")
stop("HypsoData must be a vector of numeric values if not null")
return(NULL)
}
if (!is.numeric(HypsoData)) {
stop("HypsoData must be a vector of numeric values if not null \n")
stop("HypsoData must be a vector of numeric values if not null")
return(NULL)
}
if (length(HypsoData) != 101) {
stop("HypsoData must be of length 101 if not null \n")
stop("HypsoData must be of length 101 if not null")
return(NULL)
}
if (sum(is.na(HypsoData)) != 0 & sum(is.na(HypsoData)) != 101) {
stop("HypsoData must not contain any NA if not null \n")
stop("HypsoData must not contain any NA if not null")
return(NULL)
}
}
if (!is.null(ZInputs)) {
if (length(ZInputs) != 1) {
stop("\t ZInputs must be a single numeric value if not null \n")
stop("\t ZInputs must be a single numeric value if not null")
return(NULL)
}
if (is.na(ZInputs) | !is.numeric(ZInputs)) {
stop("\t ZInputs must be a single numeric value if not null \n")
stop("\t ZInputs must be a single numeric value if not null")
return(NULL)
}
}
if (is.null(HypsoData)) {
if (verbose) {
warning("\t HypsoData is missing => a single layer is used and no extrapolation is made \n")
warning("\t HypsoData is missing => a single layer is used and no extrapolation is made")
}
HypsoData <- as.numeric(rep(NA, 101))
ZInputs <- as.numeric(NA)
......@@ -186,12 +186,12 @@ CreateInputsModel <- function(FUN_MOD,
}
if (is.null(ZInputs)) {
if (verbose & !identical(HypsoData, as.numeric(rep(NA, 101)))) {
warning("\t ZInputs is missing => HypsoData[51] is used \n")
warning("\t ZInputs is missing => HypsoData[51] is used")
}
ZInputs <- HypsoData[51L]
}
if (NLayers <= 0) {
stop("NLayers must be a positive integer value \n")
stop("NLayers must be a positive integer value")
return(NULL)
}
if (NLayers != as.integer(NLayers)) {
......@@ -209,14 +209,14 @@ CreateInputsModel <- function(FUN_MOD,
if (sum(BOOL_NA_TMP) != 0) {
BOOL_NA <- BOOL_NA | BOOL_NA_TMP
if (verbose) {
warning("\t Values < 0 or NA values detected in Precip series \n")
warning("\t Values < 0 or NA values detected in Precip series")
}
}
BOOL_NA_TMP <- (PotEvap < 0) | is.na(PotEvap)
if (sum(BOOL_NA_TMP) != 0) {
BOOL_NA <- BOOL_NA | BOOL_NA_TMP
if (verbose) {
warning("\t Values < 0 or NA values detected in PotEvap series \n")
warning("\t Values < 0 or NA values detected in PotEvap series")
}
}
}
......@@ -225,14 +225,14 @@ CreateInputsModel <- function(FUN_MOD,
if (sum(BOOL_NA_TMP) != 0) {
BOOL_NA <- BOOL_NA | BOOL_NA_TMP
if (verbose) {
warning("\t Values < 0 or NA values detected in Precip series \n")
warning("\t Values < 0 or NA values detected in Precip series")
}
}
BOOL_NA_TMP <- (TempMean < (-150)) | is.na(TempMean)
if (sum(BOOL_NA_TMP) != 0) {
BOOL_NA <- BOOL_NA | BOOL_NA_TMP
if (verbose) {
warning("\t Values < -150) or NA values detected in TempMean series \n")
warning("\t Values < -150) or NA values detected in TempMean series")
}
}
if (!is.null(TempMin) & !is.null(TempMax)) {
......@@ -240,21 +240,21 @@ CreateInputsModel <- function(FUN_MOD,
if (sum(BOOL_NA_TMP) != 0) {
BOOL_NA <- BOOL_NA | BOOL_NA_TMP
if (verbose) {
warning("\t Values < -150) or NA values detected in TempMin series \n")
warning("\t Values < -150) or NA values detected in TempMin series")
}
}
BOOL_NA_TMP <- (TempMax < (-150)) | is.na(TempMax)
if (sum(BOOL_NA_TMP) != 0) {
BOOL_NA <- BOOL_NA | BOOL_NA_TMP
if (verbose) {
warning("\t Values < -150) or NA values detected in TempMax series \n")
warning("\t Values < -150) or NA values detected in TempMax series")
}
}
}
}
if (sum(BOOL_NA) != 0) {
WTxt <- NULL
WTxt <- paste(WTxt, "\t Missing values are not allowed in InputsModel \n", sep = "")
WTxt <- paste(WTxt, "\t Missing values are not allowed in InputsModel", sep = "")
Select <- (max(which(BOOL_NA)) + 1):length(BOOL_NA)
......@@ -277,8 +277,8 @@ CreateInputsModel <- function(FUN_MOD,
DatesR <- DatesR[Select]
WTxt <- paste(WTxt, "\t -> Data were trunced to keep the most recent available time-steps \n", sep = "")
WTxt <- paste(WTxt, "\t -> ", length(Select), " time-steps were kept \n", sep = "")
WTxt <- paste(WTxt, "\t -> Data were trunced to keep the most recent available time-steps", sep = "")
WTxt <- paste(WTxt, "\t -> ", length(Select), " time-steps were kept", sep = "")
if (!is.null(WTxt) & verbose) {
warning(WTxt)
......
R/CreateRunOptions.R
View file @ f53b6a57
......@@ -37,60 +37,60 @@ CreateRunOptions <- function(FUN_MOD, InputsModel, IndPeriod_WarmUp = NULL, IndP
BOOL <- TRUE
}
if (!BOOL) {
stop("incorrect 'FUN_MOD' for use in 'CreateRunOptions' \n")
stop("incorrect 'FUN_MOD' for use in 'CreateRunOptions'")
return(NULL)
}
##check_InputsModel
if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel' \n")
stop("'InputsModel' must be of class 'InputsModel'")
return(NULL)
}
if ("GR" %in% ObjectClass & !inherits(InputsModel, "GR")) {
stop("'InputsModel' must be of class 'GR' \n")
stop("'InputsModel' must be of class 'GR'")
return(NULL)
}
if ("CemaNeige" %in% ObjectClass &
!inherits(InputsModel, "CemaNeige")) {
stop("'InputsModel' must be of class 'CemaNeige' \n")
stop("'InputsModel' must be of class 'CemaNeige'")
return(NULL)
}
if ("hourly" %in% ObjectClass &
!inherits(InputsModel, "hourly")) {
stop("'InputsModel' must be of class 'hourly' \n")
stop("'InputsModel' must be of class 'hourly'")
return(NULL)
}
if ("daily" %in% ObjectClass & !inherits(InputsModel, "daily")) {
stop("'InputsModel' must be of class 'daily' \n")
stop("'InputsModel' must be of class 'daily'")
return(NULL)
}
if ("monthly" %in% ObjectClass &
!inherits(InputsModel, "monthly")) {
stop("'InputsModel' must be of class 'monthly' \n")
stop("'InputsModel' must be of class 'monthly'")
return(NULL)
}
if ("yearly" %in% ObjectClass &
!inherits(InputsModel, "yearly")) {
stop("'InputsModel' must be of class 'yearly' \n")
stop("'InputsModel' must be of class 'yearly'")
return(NULL)
}