X-Git-Url: https://git.auder.net/?p=talweg.git;a=blobdiff_plain;f=pkg%2FR%2Fplot.R;h=c4f9cda76abef4d47187d36a498d53235b89fb85;hp=b720e9a16fe588f492cb6a77af54516115b94bda;hb=fa8078f9658dccadc0f9bcc7b54c13ecda621816;hpb=dea7ff860b42b3e246c8fa7ce2fb514561b8bc43

diff --git a/pkg/R/plot.R b/pkg/R/plot.R
index b720e9a..c4f9cda 100644
--- a/pkg/R/plot.R
+++ b/pkg/R/plot.R
@@ -8,12 +8,12 @@
 #' @export
 plotCurves <- function(data, indices)
 {
-	yrange = range( sapply( indices, function(i) {
+	yrange = quantile( range( sapply( indices, function(i) {
 		serie = c(data$getCenteredSerie(i))
 		if (!all(is.na(serie)))
 			range(serie, na.rm=TRUE)
 		c()
-	}) )
+	}) ), probs=c(0.05,0.95) )
 	par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5)
 	for (i in seq_along(indices))
 	{
@@ -44,21 +44,22 @@ plotPredReal <- function(data, pred, index)
 	plot(pred$getSerie(index), type="l", col="#0000FF", ylim=yrange, xlab="", ylab="")
 }
 
-#' @title Plot filaments
+#' @title Compute filaments
 #'
-#' @description Plot similar days in the past + "past tomorrow", as black as distances are small
+#' @description Get similar days in the past + "past tomorrow", as black as distances are small
 #'
 #' @param data Object as returned by \code{getData}
 #' @param index Index in data
 #' @param limit Number of neighbors to consider
+#' @param plot Should the result be plotted?
 #'
 #' @export
-plotFilaments <- function(data, index, limit=60)
+computeFilaments <- function(data, index, limit=60, plot=TRUE)
 {
 	index = dateIndexToInteger(index, data)
 	ref_serie = data$getCenteredSerie(index)
 	if (any(is.na(ref_serie)))
-		stop("plotFilaments requires a serie without NAs")
+		stop("computeFilaments requires a serie without NAs")
 	L = length(ref_serie)
 	first_day = ifelse(length(data$getCenteredSerie(1)<L), 2, 1)
 	distances = sapply(first_day:(index-1), function(i) {
@@ -67,26 +68,31 @@ plotFilaments <- function(data, index, limit=60)
 	# HACK to suppress NA effect while keeping indexation
 	distances[is.na(distances)] = max(distances,na.rm=TRUE) + 1
 	indices = sort(distances, index.return=TRUE)$ix[1:min(limit,index-first_day)]
-	yrange = range( ref_serie, sapply( indices, function(i) {
+	yrange = quantile( range( ref_serie, sapply( indices, function(i) {
 		index = i - first_day + 1
 		serie = c(data$getCenteredSerie(index), data$getCenteredSerie(index+1))
 		if (!all(is.na(serie)))
 			return (range(serie, na.rm=TRUE))
 		c()
-	}) )
+	}) ), probs=c(0.1,0.9) )
 	grays = gray.colors(20, 0.1, 0.9) #TODO: 20 == magic number
-	colors = c(
-		grays[ floor( 20.5 * distances[indices] / (1+max(distances[indices])) ) ], "#FF0000")
-	par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=2)
-	for (i in seq_len(length(indices)+1))
+	color_values = floor( 20.5 * distances[indices] / (1+max(distances[indices])) )
+	plot_order = sort(color_values, index.return=TRUE)$ix
+	colors = c(grays[ color_values[plot_order] ], "#FF0000")
+	if (plot)
 	{
-		ind = ifelse(i<=length(indices), indices[i] - first_day + 1, index)
-		plot(c(data$getCenteredSerie(ind),data$getCenteredSerie(ind+1)),
-			ylim=yrange, type="l", col=colors[i],
-			xlab=ifelse(i==1,"Temps (en heures)",""), ylab=ifelse(i==1,"PM10 centré",""))
-		if (i <= length(indices))
-			par(new=TRUE)
+		par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=2)
+		for ( i in c(plot_order,length(indices)+1) )
+		{
+			ind = ifelse(i<=length(indices), indices[i] - first_day + 1, index)
+			plot(c(data$getCenteredSerie(ind),data$getCenteredSerie(ind+1)),
+				ylim=yrange, type="l", col=colors[i],
+				xlab=ifelse(i==1,"Temps (en heures)",""), ylab=ifelse(i==1,"PM10 centré",""))
+			if (i <= length(indices))
+				par(new=TRUE)
+		}
 	}
+	list("indices"=c(indices[plot_order]-first_day+1,index), "colors"=colors)
 }
 
 #' @title Plot similarities
@@ -163,9 +169,10 @@ plotError <- function(err, cols=seq_along(err))
 #'
 #' @param data Object return by \code{getData}
 #' @param fiter Optional filter: return TRUE on indices to process
+#' @param plot_bivariate Should the bivariate plot appear?
 #'
 #' @export
-plotFbox <- function(data, filter=function(index) TRUE)
+plotFbox <- function(data, filter=function(index) TRUE, plot_bivariate=TRUE)
 {
 	if (!requireNamespace("rainbow", quietly=TRUE))
 		stop("Functional boxplot requires the rainbow package")
@@ -188,8 +195,31 @@ 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=1.5, cex.lab=1.5)
+	if (plot_bivariate)
+		par(mfrow=c(1,2))
+	par(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)
+	if (plot_bivariate)
+		rainbow::fboxplot(series_fds, "bivariate", "hdr", plotlegend=FALSE)
+}
+
+#' @title Functional boxplot on filaments
+#'
+#' @description Draw the functional boxplot on filaments obtained by \code{computeFilaments}
+#'
+#' @param data Object return by \code{getData}
+#' @param indices Indices as output by \code{computeFilaments}
+#'
+#' @export
+plotFilamentsBox = function(data, indices, ...)
+{
+	past_neighbs_indices = head(indices,-1)
+	plotFbox(data, function(i) i %in% past_neighbs_indices, plot_bivariate=FALSE)
+	par(new=TRUE)
+	# "Magic" found at http://stackoverflow.com/questions/13842560/get-xlim-from-a-plot-in-r
+	usr <- par("usr")
+	yr <- (usr[4] - usr[3]) / 27
+	plot(data$getSerie(tail(indices,1)), type="l", lwd=2, lty=2,
+		ylim=c(usr[3] + yr, usr[4] - yr), xlab="", ylab="")
 }