TODO: tests, reports

[talweg.git] / pkg / R / plot.R

diff --git a/pkg/R/plot.R b/pkg/R/plot.R
index c4f9cda..f4fc3bf 100644 (file)
--- a/pkg/R/plot.R
+++ b/pkg/R/plot.R
@@ -6,7 +6,7 @@
 #' @param indices Range of indices (integers or dates)
 #'
 #' @export
-plotCurves <- function(data, indices)
+plotCurves <- function(data, indices=seq_len(data$getSize()))
 {
        yrange = quantile( range( sapply( indices, function(i) {
                serie = c(data$getCenteredSerie(i))
@@ -19,7 +19,7 @@ plotCurves <- function(data, indices)
        {
                plot(data$getSerie(indices[i]), type="l", ylim=yrange,
                        xlab=ifelse(i==1,"Temps (en heures)",""), ylab=ifelse(i==1,"PM10",""))
-               if (ii < length(indices))
+               if (i < length(indices))
                        par(new=TRUE)
        }
 }
@@ -36,9 +36,9 @@ plotCurves <- function(data, indices)
 plotPredReal <- function(data, pred, index)
 {
        horizon = length(pred$getSerie(1))
-       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$getSerie(index), measure )
+       par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=3)
        plot(measure, type="l", ylim=yrange, xlab="Temps (en heures)", ylab="PM10")
        par(new=TRUE)
        plot(pred$getSerie(index), type="l", col="#0000FF", ylim=yrange, xlab="", ylab="")
@@ -66,15 +66,25 @@ computeFilaments <- function(data, index, limit=60, plot=TRUE)
                sqrt( sum( (ref_serie - data$getCenteredSerie(i))^2 ) / L )
        })
        # HACK to suppress NA effect while keeping indexation
+       
+
+
+
+
+##TOCONTINUE
+
+
+
+
        distances[is.na(distances)] = max(distances,na.rm=TRUE) + 1
-       indices = sort(distances, index.return=TRUE)$ix[1:min(limit,index-first_day)]
+       indices = sort(distances, index.return=TRUE)$ix[1:min(limit,length(distances))]
        yrange = quantile( range( ref_serie, sapply( indices, function(i) {
-               index = i - first_day + 1
-               serie = c(data$getCenteredSerie(index), data$getCenteredSerie(index+1))
+               ii = i - 1 + first_day
+               serie = c(data$getCenteredSerie(ii), data$getCenteredSerie(ii+1))
                if (!all(is.na(serie)))
                        return (range(serie, na.rm=TRUE))
                c()
-       }) ), probs=c(0.1,0.9) )
+       }) ), probs=c(0.05,0.95) )
        grays = gray.colors(20, 0.1, 0.9) #TODO: 20 == magic number
        color_values = floor( 20.5 * distances[indices] / (1+max(distances[indices])) )
        plot_order = sort(color_values, index.return=TRUE)$ix