diff --git a/vignettes/V01_get_started.Rmd b/vignettes/V01_get_started.Rmd index 3c5eb159f74fda55ecdf2de6231b9cef7297c3b8..6ffdbfc4bb19de17fcd1c6ea878c279f3cc31e35 100644 --- a/vignettes/V01_get_started.Rmd +++ b/vignettes/V01_get_started.Rmd @@ -63,7 +63,7 @@ Below is presented an example of a `data.frame` of daily hydrometeorological obs ```{r} data(L0123001) -summary(BasinObs) +summary(BasinObs, digits = 2) ``` The usual functions (e.g. `read.table()`) can be used to load real-case data sets. diff --git a/vignettes/V05_sd_model.Rmd b/vignettes/V05_sd_model.Rmd index f970f603124a8b78ba73fbe23f29d0d5db27fa16..383d8a93cc9e35ade7d23c98a962c8991aa687db 100644 --- a/vignettes/V05_sd_model.Rmd +++ b/vignettes/V05_sd_model.Rmd @@ -69,8 +69,8 @@ InputsModelUp <- CreateInputsModel(FUN_MOD = RunModel_GR4J, DatesR = BasinObs$Da Ind_Run <- seq(which(format(BasinObs$DatesR, format = "%Y-%m-%d") == "1990-01-01"), which(format(BasinObs$DatesR, format = "%Y-%m-%d") == "1999-12-31")) RunOptionsUp <- CreateRunOptions(FUN_MOD = RunModel_GR4J, - InputsModel = InputsModelUp - , IndPeriod_WarmUp = NULL, IndPeriod_Run = Ind_Run, + InputsModel = InputsModelUp, + IndPeriod_WarmUp = NULL, IndPeriod_Run = Ind_Run, IniStates = NULL, IniResLevels = NULL) InputsCritUp <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModelUp, RunOptions = RunOptionsUp, @@ -198,9 +198,9 @@ Theoretically, the parameters of the downstream GR4J model should be the same as ```{r} ParamDownTheo <- c(Lag, OutputsCalibUp$ParamFinalR) OutputsModelDownTheo <- RunModel(InputsModel = InputsModelDown2, - RunOptions = RunOptionsDown, - Param = ParamDownTheo, - FUN_MOD = RunModel_GR4J) + RunOptions = RunOptionsDown, + Param = ParamDownTheo, + FUN_MOD = RunModel_GR4J) CritDownTheo <- ErrorCrit_NSE(InputsCritDown, OutputsModelDownTheo) ```