v1.1.2.27 CLEAN: example simplified in SeriesAggreg doc

DESCRIPTION

 Package: airGR
 Type: Package
 Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
-Version: 1.1.2.26
+Version: 1.1.2.27
 Date: 2019-01-18
 Authors@R: c(
   person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),

NEWS.rmd

@@ -13,7 +13,7 @@ output:
 
 
 
-### 1.1.2.26 Release Notes (2019-01-18) 
+### 1.1.2.27 Release Notes (2019-01-18) 
 
 
 

man/SeriesAggreg.Rd

@@ -50,18 +50,17 @@ library(airGR)
 data(L0123002)
 
 ## preparation of the initial time series data frame at the daily time step
-TabSeries  <- data.frame(BasinObs$DatesR, BasinObs$P, BasinObs$E, BasinObs$T, BasinObs$Qmm)
-TimeFormat <- "daily"
+TabSeries <- BasinObs[, c("DatesR", "P", "E", "T", "Qmm")]
 
 ## conversion at the monthly time step
-NewTimeFormat <- "monthly"
-ConvertFun    <- c("sum", "sum", "mean", "sum")
-NewTabSeries  <- SeriesAggreg(TabSeries = TabSeries, TimeFormat, NewTimeFormat, ConvertFun)
+NewTabSeries <- SeriesAggreg(TabSeries = TabSeries,
+                             TimeFormat = "daily", NewTimeFormat = "monthly",
+                             ConvertFun = c("sum", "sum", "mean", "sum"))
 
 ## conversion at the yearly time step
-NewTimeFormat <- "yearly"
-ConvertFun <- c("sum", "sum", "mean", "sum")
-NewTabSeries <- SeriesAggreg(TabSeries = TabSeries, TimeFormat, NewTimeFormat, ConvertFun)
+NewTabSeries <- SeriesAggreg(TabSeries = TabSeries,
+                             TimeFormat = "daily", NewTimeFormat = "yearly",
+                             ConvertFun = c("sum", "sum", "mean", "sum"))
 
 }