#' @param cols Colors for each error (default: 1,2,3,...)
#'
#' @seealso \code{\link{plotCurves}}, \code{\link{plotPredReal}},
-#' \code{\link{plotSimils}}, \code{\link{plotFbox}},
-#' \code{\link{computeFilaments}, }\code{\link{plotFilamentsBox}}, \code{\link{plotRelVar}}
+#' \code{\link{plotSimils}}, \code{\link{plotFbox}}, \code{\link{computeFilaments}},
+#' \code{\link{plotFilamentsBox}}, \code{\link{plotRelVar}}
#'
#' @export
plotError <- function(err, cols=seq_along(err))
#' @export
plotPredReal <- function(data, pred, index)
{
- horizon = length(pred$getSerie(1))
+ horizon = length(pred$getForecast(1))
measure = data$getSerie( pred$getIndexInData(index)+1 )[1:horizon]
- prediction = pred$getSerie(index)
+ prediction = pred$getForecast(index)
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")
centered_series = rbind(
data$getCenteredSeries( pred$getParams(index)$indices ),
data$getCenteredSeries( pred$getParams(index)$indices+1 ) )
- yrange = range( ref_serie, quantile(centered_series, probs=c(0.025,0.975), na.rm=TRUE) )
+ 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)
for (i in nn:1)
{
rainbow::fboxplot(series_fds, "functional", "hdr", xlab="Time (hours)", ylab="PM10",
plotlegend=FALSE, lwd=2)
- # "Magic" found at http://stackoverflow.com/questions/13842560/get-xlim-from-a-plot-in-r
+ # "Magic": http://stackoverflow.com/questions/13842560/get-xlim-from-a-plot-in-r
usr <- par("usr")
yr <- (usr[4] - usr[3]) / 27
par(new=TRUE)
ref_var = c( apply(data$getSeries(fil$neighb_indices),1,sd),
apply(data$getSeries(fil$neighb_indices+1),1,sd) )
fdays = getNoNA2(data, 1, fil$index-1)
- global_var = c( apply(data$getSeries(fdays),1,sd), apply(data$getSeries(fdays+1),1,sd) )
+ global_var = c(
+ apply(data$getSeries(fdays),1,sd),
+ apply(data$getSeries(fdays+1),1,sd) )
yrange = range(ref_var, global_var)
par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5)