X-Git-Url: https://git.auder.net/?p=talweg.git;a=blobdiff_plain;f=pkg%2FR%2Fplot.R;h=0f895bd16483795302623b53ea983f3ab9c2cd92;hp=b5a8e4b636c1e146cda9207b8b6c124c83cca345;hb=HEAD;hpb=10886062b38b7373ce6f418b6df6da16badd9393

diff --git a/pkg/R/plot.R b/pkg/R/plot.R
index b5a8e4b..0f895bd 100644
--- a/pkg/R/plot.R
+++ b/pkg/R/plot.R
@@ -20,34 +20,49 @@ plotCurves <- function(data, indices=seq_len(data$getSize()))
 #'
 #' @param err Error as returned by \code{computeError()}
 #' @param cols Colors for each error (default: 1,2,3,...)
+#' @param agg Aggregation level ("day", "week" or "month")
 #'
 #' @seealso \code{\link{plotCurves}}, \code{\link{plotPredReal}},
 #'   \code{\link{plotSimils}}, \code{\link{plotFbox}}, \code{\link{computeFilaments}},
 #'   \code{\link{plotFilamentsBox}}, \code{\link{plotRelVar}}
 #'
 #' @export
-plotError <- function(err, cols=seq_along(err))
+plotError <- function(err, cols=seq_along(err), agg="day")
 {
 	if (!is.null(err$abs))
 		err = list(err)
 	par(mfrow=c(2,2), mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5)
 	L = length(err)
 
-	yrange = range( sapply(1:L, function(i) ( err[[i]]$abs$day ) ), na.rm=TRUE )
-	matplot( sapply( seq_len(L), function(i) err[[i]]$abs$day ), type="l",
-		xlab="Time (hours)", ylab="Mean |y - y_hat|", ylim=yrange, col=cols, lwd=2, lty=1 )
+	yrange = range( sapply(1:L, function(i) err[[i]]$abs$day), na.rm=TRUE )
+	matplot(sapply( seq_len(L), function(i) err[[i]]$abs$day ), type="l",
+		xlab="Time (hours)", ylab="Mean |y - y_hat|", ylim=yrange, col=cols, lwd=2, lty=1)
 
-	yrange = range( sapply(1:L, function(i) ( err[[i]]$abs$indices ) ), na.rm=TRUE )
-	matplot( sapply( seq_len(L), function(i) err[[i]]$abs$indices ), type="l",
-		xlab="Time (days)", ylab="Mean |y - y_hat|", ylim=yrange, col=cols, lwd=2, lty=1 )
+	agg_curves <- sapply( seq_len(L), function(i) {
+		curve <- err[[i]]$abs$indices
+		delta <- if (agg=="day") 1 else if (agg=="week") 7 else if (agg=="month") 30
+		vapply( seq(1,length(curve),delta), function(i) {
+			mean(curve[i:(i+delta-1)], na.rm=TRUE)
+		}, vector("double",1), USE.NAMES=FALSE )
+	})
+	yrange = range(agg_curves, na.rm=TRUE)
+	matplot(agg_curves, type="l", xlab=paste("Time (",agg,"s)", sep=""),
+		ylab="Mean |y - y_hat|", ylim=yrange, col=cols, lwd=2, lty=1)
 
-	yrange = range( sapply(1:L, function(i) ( err[[i]]$MAPE$day ) ), na.rm=TRUE )
-	matplot( sapply( seq_len(L), function(i) err[[i]]$MAPE$day ), type="l",
-		xlab="Time (hours)", ylab="Mean MAPE", ylim=yrange, col=cols, lwd=2, lty=1 )
+	yrange = range( sapply(1:L, function(i) err[[i]]$MAPE$day), na.rm=TRUE )
+	matplot(sapply( seq_len(L), function(i) err[[i]]$MAPE$day ), type="l",
+		xlab="Time (hours)", ylab="Mean MAPE", ylim=yrange, col=cols, lwd=2, lty=1)
 
-	yrange = range( sapply(1:L, function(i) ( err[[i]]$MAPE$indices ) ), na.rm=TRUE )
-	matplot( sapply( seq_len(L), function(i) err[[i]]$MAPE$indices ), type="l",
-		xlab="Time (days)", ylab="Mean MAPE", ylim=yrange, col=cols, lwd=2, lty=1 )
+	agg_curves <- sapply( seq_len(L), function(i) {
+		curve <- err[[i]]$MAPE$indices
+		delta <- if (agg=="day") 1 else if (agg=="week") 7 else if (agg=="month") 30
+		vapply( seq(1,length(curve),delta), function(i) {
+			mean(curve[i:(i+delta-1)], na.rm=TRUE)
+		}, vector("double",1), USE.NAMES=FALSE )
+	})
+	yrange = range(agg_curves, na.rm=TRUE)
+	matplot(agg_curves, type="l", xlab=paste("Time (",agg,"s)", sep=""),
+		ylab="Mean MAPE", ylim=yrange, col=cols, lwd=2, lty=1)
 }
 
 #' Plot measured / predicted
@@ -64,7 +79,8 @@ plotPredReal <- function(data, pred, index)
 	measure = data$getSerie( pred$getIndexInData(index) )[1:length(pred$getForecast(1))]
 
 	# Remove the common part, where prediction == measure
-	dot_mark <- ifelse(prediction[1]==measure[1], which.max(prediction==measure), 0)
+	dot_mark <- ifelse(prediction[1]==measure[1],
+		which.max(seq_along(prediction)[prediction==measure]), 0)
 	prediction = prediction[(dot_mark+1):length(prediction)]
 	measure = measure[(dot_mark+1):length(measure)]