X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=pkg%2FR%2Fplot.R;h=2b7411763b21dfe0877cc16268c63131265fd7ee;hb=e7bc2af6e930ac5ecaac0e9b4207a49e463edddc;hp=59a26a7e0765826771741ad04aea9ed6663d6c74;hpb=d2ab47a744d8fb29c03a76a7ca2368dae53f9a57;p=talweg.git

diff --git a/pkg/R/plot.R b/pkg/R/plot.R
index 59a26a7..2b74117 100644
--- a/pkg/R/plot.R
+++ b/pkg/R/plot.R
@@ -83,7 +83,7 @@ plotError <- function(err, cols=seq_along(err))
 plotPredReal <- function(data, pred, index)
 {
 	prediction = pred$getForecast(index)
-	measure = data$getSerie( pred$getIndexInData(index) )[length(prediction)]
+	measure = data$getSerie( pred$getIndexInData(index) )[1:length(prediction)]
 	yrange = range(measure, prediction)
 	par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=3)
 	plot(measure, type="l", ylim=yrange, xlab="Time (hours)", ylab="PM10")
@@ -208,8 +208,9 @@ plotFilamentsBox = function(data, fil, predict_from)
 		stop("Functional boxplot requires the rainbow package")
 
 	series_matrix = rbind(
-		data$getSeries(fil$neighb_indices), data$getSeries(fil$neighb_indices+1) )
+		data$getSeries(fil$neighb_indices-1), data$getSeries(fil$neighb_indices) )
 	series_fds = rainbow::fds(seq_len(nrow(series_matrix)), series_matrix)
+
 	par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5)
 	rainbow::fboxplot(series_fds, "functional", "hdr", xlab="Time (hours)", ylab="PM10",
 		plotlegend=FALSE, lwd=2)
@@ -234,12 +235,12 @@ plotFilamentsBox = function(data, fil, predict_from)
 #' @export
 plotRelVar = function(data, fil, predict_from)
 {
-	ref_var = c( apply(data$getSeries(fil$neighb_indices),1,sd),
-		apply(data$getSeries(fil$neighb_indices+1),1,sd) )
-	fdays = .getNoNA2(data, 1, fil$index-1)
+	ref_var = c( apply(data$getSeries(fil$neighb_indices-1),1,sd),
+		apply(data$getSeries(fil$neighb_indices),1,sd) )
+	tdays = .getNoNA2(data, 2, fil$index)
 	global_var = c(
-		apply(data$getSeries(fdays),1,sd),
-		apply(data$getSeries(fdays+1),1,sd) )
+		apply(data$getSeries(tdays-1),1,sd),
+		apply(data$getSeries(tdays),1,sd) )
 
 	yrange = range(ref_var, global_var)
 	par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5)