X-Git-Url: https://git.auder.net/?p=talweg.git;a=blobdiff_plain;f=reports%2Freport.gj;h=3524e10e12c8f3e304fa9fff4669dd90ba82d816;hp=dc4cbd4b8739aa850fdcabdaf3592262e202068e;hb=0c1bf707abbc1b60db7f67c67c0cb123b3df85ff;hpb=1f22e86a6f77082989f14c33d3e07b217a38583b

diff --git a/reports/report.gj b/reports/report.gj
index dc4cbd4..3524e10 100644
--- a/reports/report.gj
+++ b/reports/report.gj
@@ -26,26 +26,30 @@ library(talweg)
 
 ts_data = read.csv(system.file("extdata","pm10_mesures_H_loc_report.csv",package="talweg"))
 exo_data = read.csv(system.file("extdata","meteo_extra_noNAs.csv",package="talweg"))
-data = getData(ts_data, exo_data, input_tz = "Europe/Paris", working_tz="Europe/Paris", predict_at=13)
+data = getData(ts_data, exo_data, input_tz = "Europe/Paris", working_tz="Europe/Paris",
+	predict_at=${P}) #predict from P+1 to P+H included
 
 indices_ch = seq(as.Date("2015-01-18"),as.Date("2015-01-24"),"days")
 indices_ep = seq(as.Date("2015-03-15"),as.Date("2015-03-21"),"days")
 indices_np = seq(as.Date("2015-04-26"),as.Date("2015-05-02"),"days")
 
-H = 17 #predict from 8am to 12pm
 % for i in range(3):
 -----
 <h2 style="color:blue;font-size:2em">${list_titles[i]}</h2>
 -----r
-p_nn_exo = computeForecast(data, ${list_indices[i]}, "Neighbors", "Neighbors", simtype="exo", horizon=H)
-p_nn_mix = computeForecast(data, ${list_indices[i]}, "Neighbors", "Neighbors", simtype="mix", horizon=H)
-p_az = computeForecast(data, ${list_indices[i]}, "Average", "Zero", horizon=H) #, memory=183)
-p_pz = computeForecast(data, ${list_indices[i]}, "Persistence", "Zero", horizon=H, same_day=TRUE)
+p_nn_exo = computeForecast(data, ${list_indices[i]}, "Neighbors", "Neighbors",
+	horizon=${H}, simtype="exo")
+p_nn_mix = computeForecast(data, ${list_indices[i]}, "Neighbors", "Neighbors",
+	horizon=${H}, simtype="mix")
+p_az = computeForecast(data, ${list_indices[i]}, "Average", "Zero",
+	horizon=${H})
+p_pz = computeForecast(data, ${list_indices[i]}, "Persistence", "Zero",
+	horizon=${H}, same_day=TRUE)
 -----r
-e_nn_exo = computeError(data, p_nn_exo, H)
-e_nn_mix = computeError(data, p_nn_mix, H)
-e_az = computeError(data, p_az, H)
-e_pz = computeError(data, p_pz, H)
+e_nn_exo = computeError(data, p_nn_exo, ${H})
+e_nn_mix = computeError(data, p_nn_mix, ${H})
+e_az = computeError(data, p_az, ${H})
+e_pz = computeError(data, p_pz, ${H})
 options(repr.plot.width=9, repr.plot.height=7)
 plotError(list(e_nn_mix, e_pz, e_az, e_nn_exo), cols=c(1,2,colors()[258], 4))