X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=R%2Fplot.R;h=9a0dbcd90147854d67bb33cad37c3aa30c6d55ce;hb=e030a6e31232332b73187eda25870e843152c174;hp=a7c93955f0abcfbace860206da5d178247972fa6;hpb=09cf9c19b5c6a04bc23c58b7ac8a4bbae2c6827d;p=talweg.git

diff --git a/R/plot.R b/R/plot.R
index a7c9395..9a0dbcd 100644
--- a/R/plot.R
+++ b/R/plot.R
@@ -1,3 +1,29 @@
+#' @title plot curves
+#'
+#' @description Plot a range of curves in data
+#'
+#' @param data Object of class Data
+#' @param indices Range of indices (integers or dates)
+#'
+#' @export
+plotCurves <- function(data, indices)
+{
+	yrange = range( sapply( indices, function(i) {
+		serie = c(data$getCenteredSerie(i))
+		if (!all(is.na(serie)))
+			range(serie, na.rm=TRUE)
+		c()
+	}) )
+	par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5)
+	for (i in seq_along(indices))
+	{
+		plot(data$getSerie(indices[i]), type="l", ylim=yrange,
+			xlab=ifelse(i==1,"Temps (en heures)",""), ylab=ifelse(i==1,"PM10",""))
+		if (ii < length(indices))
+			par(new=TRUE)
+	}
+}
+
 #' @title plot measured / predicted
 #'
 #' @description Plot measured curve (in black) and predicted curve (in red)
@@ -10,12 +36,12 @@
 plotPredReal <- function(data, pred, index)
 {
 	horizon = length(pred$getSerie(1))
-	par(mar=c(4.7,5,1,1), cex.axis=2, cex.lab=2, lwd=2)
+	par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=3)
 	measure = data$getSerie(pred$getIndexInData(index)+1)[1:horizon]
 	yrange = range( pred$getSerie(index), measure )
-	plot(measure, type="l", ylim=yrange, lwd=3, xlab="Temps (en heures)", ylab="PM10")
+	plot(measure, type="l", ylim=yrange, xlab="Temps (en heures)", ylab="PM10")
 	par(new=TRUE)
-	plot(pred$getSerie(index), type="l", col="#0000FF", ylim=yrange, lwd=3, xlab="", ylab="")
+	plot(pred$getSerie(index), type="l", col="#0000FF", ylim=yrange, xlab="", ylab="")
 }
 
 #' @title Plot filaments
@@ -45,13 +71,13 @@ plotFilaments <- function(data, index, limit=60)
 		index = i - first_day + 1
 		serie = c(data$getCenteredSerie(index), data$getCenteredSerie(index+1))
 		if (!all(is.na(serie)))
-			return ( range(serie, na.rm=TRUE) )
-		return (0)
+			range(serie, na.rm=TRUE)
+		c()
 	}) )
 	grays = gray.colors(20, 0.1, 0.9) #TODO: 20 == magic number
 	colors = c(
 		grays[ floor( 20.5 * distances[indices] / (1+max(distances[indices])) ) ], "#FF0000")
-	par(mar=c(4.7,5,1,1), cex.axis=2, cex.lab=2, lwd=2)
+	par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=2)
 	for (i in seq_len(length(indices)+1))
 	{
 		ind = ifelse(i<=length(indices), indices[i] - first_day + 1, index)
@@ -76,8 +102,8 @@ plotSimils <- function(pred, index)
 	weights = pred$getParams(index)$weights
 	if (is.null(weights))
 		stop("plotSimils only works on 'Neighbors' forecasts")
-	par(mar=c(4.7,5,1,1))
-	hist(pred$getParams(index)$weights, nclass=20, xlab="Weight", ylab="Frequency")
+	par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5)
+	hist(pred$getParams(index)$weights, nclass=20, xlab="Poids", ylab="Effectif")
 }
 
 #' @title Plot error
@@ -95,7 +121,7 @@ plotError <- function(err, cols=seq_along(err))
 {
 	if (!is.null(err$abs))
 		err = list(err)
-	par(mfrow=c(2,2), mar=c(4.7,5,1,1), cex.axis=2, cex.lab=2, lwd=2)
+	par(mfrow=c(2,2), mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=2)
 	L = length(err)
 	yrange = range( sapply(1:L, function(index) ( err[[index]]$abs$day ) ), na.rm=TRUE )
 	for (i in seq_len(L))
@@ -162,7 +188,7 @@ plotFbox <- function(data, filter=function(index) TRUE)
 	series_matrix = series_matrix[,-nas_indices]
 
 	series_fds = rainbow::fds(seq_len(nrow(series_matrix)), series_matrix)
-	par(mfrow=c(1,2), mar=c(4.7,5,1,1), cex.axis=2, cex.lab=2)
+	par(mfrow=c(1,2), mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5)
 	rainbow::fboxplot(series_fds, "functional", "hdr", xlab="Temps (heures)", ylab="PM10",
 		plotlegend=FALSE, lwd=2)
 	rainbow::fboxplot(series_fds, "bivariate", "hdr", plotlegend=FALSE)