From 8dbaeb84997e38ebaa5cf91035e248856576a4a8 Mon Sep 17 00:00:00 2001
From: unknown <olivier.delaigue@ANPI1430.antony.irstea.priv>
Date: Mon, 31 Oct 2016 10:59:35 +0100
Subject: [PATCH] SeriesAggreg() documentation updated

---
 man/SeriesAggreg.Rd | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/man/SeriesAggreg.Rd b/man/SeriesAggreg.Rd
index 40e46d54..4efed2aa 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
-- 
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