X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=pkg%2FR%2FF_Average.R;h=bee1974540341e0b20cc03f5de3aeec7bd79f54d;hb=638f27f4296727aff62b56643beb9f42aa5b57ef;hp=a48952bb6150106f2626fb0b3457c186a7382b98;hpb=a66a84b56467194852f2faee15f4725759b24158;p=talweg.git

diff --git a/pkg/R/F_Average.R b/pkg/R/F_Average.R
index a48952b..bee1974 100644
--- a/pkg/R/F_Average.R
+++ b/pkg/R/F_Average.R
@@ -1,32 +1,57 @@
-#' @include Forecaster.R
-#'
 #' Average Forecaster
 #'
-#' Return the (pointwise) average of the all the (similar) centered day curves
-#' in the past. Inherits \code{\link{Forecaster}}
+#' 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.
+#'
+#' @usage # AverageForecaster$new(pjump)
+#'
+#' @docType class
+#' @format R6 class, inherits Forecaster
+#' @aliases F_Average
+#'
 AverageForecaster = R6::R6Class("AverageForecaster",
 	inherit = Forecaster,
 
 	public = list(
-		predictShape = function(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
 		}