X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=pkg%2FR%2FF_Average.R;h=4d395ac3a9d3491b9fa77fcd0f29ba1b626b430c;hb=4f3fdbb8e2ac4bd57a4e27539a58ef0e7ec2304c;hp=8a331115960411a8b71e1962168ba0bb309ecd98;hpb=102bcfda4afbb5cfee885cbee0f55545624168fd;p=talweg.git

diff --git a/pkg/R/F_Average.R b/pkg/R/F_Average.R
index 8a33111..4d395ac 100644
--- a/pkg/R/F_Average.R
+++ b/pkg/R/F_Average.R
@@ -3,37 +3,55 @@
 #' Pointwise average of all the series of the same day of week in the past.
 #'
 #' For example, if the current day (argument "today") is a tuesday, then all series
-#' corresponding to wednesdays in the past (until the beginning or memory limit) are
-#' averaged to provide a smooth prediction. This forecast will most of the time be wrong,
-#' but will also look plausible enough.
+#' corresponding to tuesday in the past (until the beginning or memory limit) -- and in
+#' the future if 'opera' is FALSE -- are averaged to provide a smooth prediction. This
+#' forecast will most of the time be wrong, but will also look plausible enough.
+#'
+#' @usage # AverageForecaster$new(pjump)
 #'
 #' @docType class
 #' @format R6 class, inherits Forecaster
-#' @alias F_Average
+#' @aliases F_Average
 #'
 AverageForecaster = R6::R6Class("AverageForecaster",
 	inherit = Forecaster,
 
 	public = list(
-		predictShape = function(data, today, memory, horizon, ...)
+		predictShape = function(data, today, memory, predict_from, horizon, ...)
 		{
-			avg = rep(0., horizon)
+			avg = rep(0., (horizon-predict_from+1))
 			first_day = max(1, today-memory)
-			index = today-7 + 1
+			index <- today
 			nb_no_na_series = 0
+			opera = ifelse(hasArg("opera"), list(...)$opera, FALSE)
 			repeat
 			{
-				{
-					serie_on_horizon = data$getCenteredSerie(index)[1:horizon]
-					index = index - 7
-				};
+				index = index - 7
+				if (index < first_day)
+					break
+				serie_on_horizon = data$getCenteredSerie(index)[predict_from:horizon]
 				if (!any(is.na(serie_on_horizon)))
 				{
 					avg = avg + serie_on_horizon
 					nb_no_na_series = nb_no_na_series + 1
-				};
-				if (index < first_day)
-					break
+				}
+			}
+			if (!opera)
+			{
+				# The same, in the future
+				index <- today
+				repeat
+				{
+					index = index + 7
+					if (index > data$getSize())
+						break
+					serie_on_horizon = data$getCenteredSerie(index)[predict_from:horizon]
+					if (!any(is.na(serie_on_horizon)))
+					{
+						avg = avg + serie_on_horizon
+						nb_no_na_series = nb_no_na_series + 1
+					}
+				}
 			}
 			avg / nb_no_na_series
 		}