#' @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))
{
plot(data$getSerie(indices[i]), type="l", ylim=yrange,
xlab=ifelse(i==1,"Temps (en heures)",""), ylab=ifelse(i==1,"PM10",""))
- if (ii < length(indices))
+ if (i < length(indices))
par(new=TRUE)
}
}
plotPredReal <- function(data, pred, index)
{
horizon = length(pred$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="")
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