Add report generator + first draft of report.gj
[talweg.git] / pkg / R / F_Average.R
diff --git a/pkg/R/F_Average.R b/pkg/R/F_Average.R
deleted file mode 100644 (file)
index ba0f003..0000000
+++ /dev/null
@@ -1,55 +0,0 @@
-#' @include Forecaster.R
-#'
-#' @title Average Forecaster
-#'
-#' @description Return the (pointwise) average of the all the (similar) centered day curves
-#'   in the past. Inherits \code{\link{Forecaster}}
-AverageForecaster = setRefClass(
-       Class = "AverageForecaster",
-       contains = "Forecaster",
-
-       methods = list(
-               initialize = function(...)
-               {
-                       callSuper(...)
-               },
-               predict = function(today, memory, horizon, ...)
-               {
-                       predicted_shape = predictShape(today, memory, horizon, ...)
-                       #Take care of never passing same_day==FALSE (when pjump == Persistence)
-                       predicted_delta =
-                               if (#as.character(substitute(pjump))=="Persistence" && #TODO: doesn't work
-                                       hasArg("same_day") && list(...)$same_day==FALSE)
-                               {
-                                       args = list(...)
-                                       args$same_day = TRUE
-                                       do.call(pjump, append(list("today"=today,"memory"=memory,"horizon"=horizon), args))
-                               }
-                               else
-                                       pjump(data, today, memory, horizon, params, ...)
-                       predicted_shape + tail(data$getSerie(today),1) - predicted_shape[1] + predicted_delta
-               },
-               predictShape = function(today, memory, horizon, ...)
-               {
-                       avg = rep(0., horizon)
-                       first_day = max(1, today-memory)
-                       index = today-7 + 1
-                       nb_no_na_series = 0
-                       repeat
-                       {
-                               {
-                                       serie_on_horizon = data$getCenteredSerie(index)[1:horizon]
-                                       index = index - 7
-                               };
-                               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
-                       }
-                       avg / nb_no_na_series
-               }
-       )
-)