plotPredReal <- function(data, pred, index)
{
prediction = pred$getForecast(index)
- measure = data$getSerie( pred$getIndexInData(index) )[length(prediction)]
+ measure = data$getSerie( pred$getIndexInData(index) )[1:length(prediction)]
yrange = range(measure, prediction)
par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=3)
plot(measure, type="l", ylim=yrange, xlab="Time (hours)", ylab="PM10")
ref_serie = c( data$getCenteredSerie( pred$getIndexInData(index)-1 ),
data$getCenteredSerie( pred$getIndexInData(index) ) )
centered_series = rbind(
- data$getCenteredSeries( pred$getParams(index)$indices ),
- data$getCenteredSeries( pred$getParams(index)$indices+1 ) )
+ data$getCenteredSeries( pred$getParams(index)$indices-1 ),
+ data$getCenteredSeries( pred$getParams(index)$indices ) )
yrange = range( ref_serie,
quantile(centered_series, probs=c(0.025,0.975), na.rm=TRUE) )
par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=2)