diff --git a/man/SeriesAggreg.Rd b/man/SeriesAggreg.Rd index 40e46d543702483e5dc0e0387a4a3d7bd6402a07..4efed2aa05b0520288510a2494132bf1819c93f9 100644 --- a/man/SeriesAggreg.Rd +++ b/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