SeriesAggreg() documentation updated

man/SeriesAggreg.Rd

@@ -7,7 +7,7 @@ SeriesAggreg(TabSeries, TimeFormat, NewTimeFormat, ConvertFun,
   YearFirstMonth = 1, TimeLag = 0, verbose = TRUE)
 }
 \arguments{
-\item{TabSeries}{[POSIXt+numeric] dataframe containing the vector of dates (POSIXt) and the time series values numeric)}
+\item{TabSeries}{[POSIXt+numeric] data.frame containing the vector of dates (POSIXt) and the time series values numeric)}
 
 \item{TimeFormat}{[character] desired format (i.e. "hourly", "daily", "monthly" or "yearly")}
 
@@ -15,14 +15,14 @@ SeriesAggreg(TabSeries, TimeFormat, NewTimeFormat, ConvertFun,
 
 \item{ConvertFun}{[character] names of aggregation functions (e.g. for P[mm], T[deg], Q[mm] : ConvertFun <- c("sum", "mean", "sum"))}
 
-\item{YearFirstMonth}{(optional) [numeric] integer used when NewTimeFormat = "yearly" to set when the starting month of the year (e.g. 01 for calendar year or 09 for hydrological year starting in september)}
+\item{YearFirstMonth}{(optional) [numeric] integer used when NewTimeFormat = "yearly" to set when the starting month of the year (e.g. 01 for calendar year or 09 for hydrological year starting in September)}
 
-\item{TimeLag}{(optional) [numeric] numeric indicating a time lag (in seconds) for the time series aggregation (especially useful to aggegate hourly time series in daily time series)}
+\item{TimeLag}{(optional) [numeric] numeric indicating a time lag (in seconds) for the time series aggregation (especially useful to aggregate hourly time series in daily time series)}
 
 \item{verbose}{(optional) [boolean] boolean indicating if the function is run in verbose mode or not, default = FALSE}
 }
 \value{
-[POSIXct+numeric] dataframe containing a vector of aggregated dates (POSIXct) and time series values numeric)
+[POSIXct+numeric] data.frame containing a vector of aggregated dates (POSIXct) and time series values numeric)
 }
 \description{
 Conversion of time series to another time step (aggregation only). \cr