reports/year2015.gj

   1 -----r
   2 library(talweg)
   3
   4 P = ${P} #première heure de prévision
   5 H = ${H} #dernière heure de prévision
   6
   7 ts_data = read.csv(system.file("extdata","pm10_mesures_H_loc.csv",
   8     package="talweg"))
   9 exo_data = read.csv(system.file("extdata","meteo_extra_noNAs.csv",
  10     package="talweg"))
  11 data = getData(ts_data, exo_data)
  12
  13 indices = seq(as.Date("2015-01-01"),as.Date("2015-12-31"),"days")
  14 -----r
  15 p1 = computeForecast(data, indices, "Neighbors", "Neighbors",
  16     predict_from=P, horizon=H, simtype="mix", local=FALSE)
  17 p2 = computeForecast(data, indices, "Neighbors", "Zero",
  18     predict_from=P, horizon=H, simtype="none", local=TRUE)
  19 p3 = computeForecast(data, indices, "Average", "LastValue",
  20     predict_from=P, horizon=H)
  21 p4 = computeForecast(data, indices, "Persistence", "LastValue",
  22     predict_from=P, horizon=H, same_day=TRUE)
  23 -----r
  24 e1 = computeError(data, p1, P, H)
  25 e2 = computeError(data, p2, P, H)
  26 e3 = computeError(data, p3, P, H)
  27 e4 = computeError(data, p4, P, H)
  28 options(repr.plot.width=9, repr.plot.height=7)
  29 plotError(list(e1, e4, e3, e2), cols=c(1,2,colors()[258],4), agg="month")
  30
  31 # noir: Neighbors non-local (p1), bleu: Neighbors local (p2),
  32 # vert: moyenne (p3), rouge: persistence (p4)