From: Benjamin Auder <benjamin.auder@somewhere>
Date: Thu, 4 May 2017 19:15:27 +0000 (+0200)
Subject: 'update'
X-Git-Url: https://git.auder.net/assets/rpsls.css?a=commitdiff_plain;h=10886062b38b7373ce6f418b6df6da16badd9393;hp=9b9bb2d490e356ff0393aec66b137cff0a64803d;p=talweg.git

'update'
---

diff --git a/pkg/R/F_Neighbors.R b/pkg/R/F_Neighbors.R
index 17fdd58..eb0dd79 100644
--- a/pkg/R/F_Neighbors.R
+++ b/pkg/R/F_Neighbors.R
@@ -140,7 +140,7 @@ NeighborsForecaster = R6::R6Class("NeighborsForecaster",
 					}
 					return ( data$getSerie(tdays[1])[predict_from:horizon] )
 				}
-				max_neighbs = 10 #TODO: 10 or 12 or... ?
+				max_neighbs = 12 #TODO: 10 or 12 or... ?
 				if (length(tdays) > max_neighbs)
 				{
 					distances2 <- .computeDistsEndo(data, today, tdays, predict_from)
diff --git a/pkg/R/plot.R b/pkg/R/plot.R
index 8675c62..b5a8e4b 100644
--- a/pkg/R/plot.R
+++ b/pkg/R/plot.R
@@ -30,24 +30,24 @@ plotError <- function(err, cols=seq_along(err))
 {
 	if (!is.null(err$abs))
 		err = list(err)
-	par(mfrow=c(2,2), mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lty=1)
+	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 )
+		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 )
+		xlab="Time (days)", 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 )
+		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 )
+		xlab="Time (days)", ylab="Mean MAPE", ylim=yrange, col=cols, lwd=2, lty=1 )
 }
 
 #' Plot measured / predicted