From: Benjamin Auder <benjamin.auder@somewhere>
Date: Thu, 11 May 2017 15:05:24 +0000 (+0200)
Subject: prepare report on one full year (2015)
X-Git-Url: https://git.auder.net/doc/current/%7B%7B%20asset%28%27mixstore/images/favicon.png%27%29%20%7D%7D?a=commitdiff_plain;h=f71b975b140342f7ea80275359b7f4f9aa75153a;p=talweg.git

prepare report on one full year (2015)
---

diff --git a/pkg/R/utils.R b/pkg/R/utils.R
index bc80030..7e4e332 100644
--- a/pkg/R/utils.R
+++ b/pkg/R/utils.R
@@ -113,8 +113,8 @@ getSimilarDaysIndices = function(index, data, limit, same_season,
 #
 .isSameSeason = function(month, month_ref)
 {
-	if (month_ref == 3) #TODO: same as Bruno (but weird)
-		return (month %in% c(2,3,4,9,10))
+#	if (month_ref == 3) #TODO: same as Bruno (but weird)
+#		return (month %in% c(2,3,4,9,10))
 	if (month_ref %in% c(11,12,1,2)) #~= mid-polluted
 		return (month %in% c(11,12,1,2))
 	if (month_ref %in% c(3,4,9,10)) #~= high-polluted
diff --git a/reports/year2015.gj b/reports/year2015.gj
new file mode 100644
index 0000000..63f8e41
--- /dev/null
+++ b/reports/year2015.gj
@@ -0,0 +1,51 @@
+-----r
+library(talweg)
+
+P = ${P} #première heure de prévision
+H = ${H} #dernière heure de prévision
+
+ts_data = read.csv(system.file("extdata","pm10_mesures_H_loc.csv",
+	package="talweg"))
+exo_data = read.csv(system.file("extdata","meteo_extra_noNAs.csv",
+	package="talweg"))
+data = getData(ts_data, exo_data)
+
+indices = seq(as.Date("2015-01-01"),as.Date("2015-12-31"),"days")
+-----r
+p1 = computeForecast(data, indices, "Neighbors", "Neighbors",
+	predict_from=P, horizon=H, simtype="mix", local=FALSE)
+p2 = computeForecast(data, indices, "Neighbors", NULL,
+	predict_from=P, horizon=H, simtype="none", local=TRUE)
+p3 = computeForecast(data, indices, "Average", "Zero",
+	predict_from=P, horizon=H)
+p4 = computeForecast(data, indices, "Persistence", "Zero",
+	predict_from=P, horizon=H, same_day=TRUE)
+-----r
+e1 = computeError(data, p1, P, H)
+e2 = computeError(data, p2, P, H)
+e3 = computeError(data, p3, P, H)
+e4 = computeError(data, p4, P, H)
+options(repr.plot.width=9, repr.plot.height=7)
+plotError(list(e1, e4, e3, e2), cols=c(1,2,colors()[258],4))
+
+# noir: Neighbors non-local (p1), bleu: Neighbors local (p2),
+# vert: moyenne (p3), rouge: persistence (p4)
+
+## TODO: plot modifié, retourner jour par jour et agréger au mois
+
+## TODO: garder éventuellement ça ::
+sum_p23 = e2$abs$indices + e3$abs$indices
+i_np = which.min(sum_p23) #indice de jour "facile"
+i_p = which.max(sum_p23) #indice de jour "difficile"
+% if P == 8:
+-----r
+options(repr.plot.width=9, repr.plot.height=4)
+par(mfrow=c(1,2))
+
+plotPredReal(data, p1, i_np); title(paste("PredReal p1 day",i_np))
+plotPredReal(data, p1, i_p); title(paste("PredReal p1 day",i_p))
+
+plotPredReal(data, p2, i_np); title(paste("PredReal p2 day",i_np))
+plotPredReal(data, p2, i_p); title(paste("PredReal p2 day",i_p))
+
+# Bleu : prévue ; noir : réalisée (confondues jusqu'à predict_from-1)