+#' @title plot curves
+#'
+#' @description Plot a range of curves in data
+#'
+#' @param data Object of class Data
+#' @param indices Range of indices (integers or dates)
+#'
+#' @export
+plotCurves <- function(data, indices)
+{
+ yrange = range( sapply( indices, function(i) {
+ serie = c(data$getCenteredSerie(i))
+ if (!all(is.na(serie)))
+ range(serie, na.rm=TRUE)
+ c()
+ }) )
+ par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5)
+ for (i in seq_along(indices))
+ {
+ plot(data$getSerie(indices[i]), type="l", ylim=yrange,
+ xlab=ifelse(i==1,"Temps (en heures)",""), ylab=ifelse(i==1,"PM10",""))
+ if (ii < length(indices))
+ par(new=TRUE)
+ }
+}
+
#' @title plot measured / predicted
#'
#' @description Plot measured curve (in black) and predicted curve (in red)
plotPredReal <- function(data, pred, index)
{
horizon = length(pred$getSerie(1))
- par(mar=c(4.7,5,1,1), cex.axis=2, cex.lab=2, lwd=2)
+ par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=3)
measure = data$getSerie(pred$getIndexInData(index)+1)[1:horizon]
yrange = range( pred$getSerie(index), measure )
- plot(measure, type="l", ylim=yrange, lwd=3)
+ plot(measure, type="l", ylim=yrange, xlab="Temps (en heures)", ylab="PM10")
par(new=TRUE)
- plot(pred$getSerie(index), type="l", col=2, ylim=yrange, lwd=3)
+ plot(pred$getSerie(index), type="l", col="#0000FF", ylim=yrange, xlab="", ylab="")
}
#' @title Plot filaments
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) )
- return (0)
+ range(serie, na.rm=TRUE)
+ c()
}) )
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=2, cex.lab=2, lwd=2)
+ 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))
{
ind = ifelse(i<=length(indices), indices[i] - first_day + 1, index)
weights = pred$getParams(index)$weights
if (is.null(weights))
stop("plotSimils only works on 'Neighbors' forecasts")
- par(mar=c(4.7,5,1,1))
- hist(pred$getParams(index)$weights, nclass=20, xlab="Weight", ylab="Frequency")
+ par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5)
+ hist(pred$getParams(index)$weights, nclass=20, xlab="Poids", ylab="Effectif")
}
#' @title Plot error
#' @description Draw error graphs, potentially from several runs of \code{getForecast}
#'
#' @param err Error as returned by \code{getError}
+#' @param cols Colors for each error (default: 1,2,3,...)
#'
#' @seealso \code{\link{plotPredReal}}, \code{\link{plotFilaments}}, \code{\link{plotSimils}}
#' \code{\link{plotFbox}}
#'
#' @export
-plotError <- function(err)
+plotError <- function(err, cols=seq_along(err))
{
- par(mfrow=c(2,2), mar=c(4.7,5,1,1), cex.axis=2, cex.lab=2, lwd=2)
+ if (!is.null(err$abs))
+ err = list(err)
+ par(mfrow=c(2,2), mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=2)
L = length(err)
yrange = range( sapply(1:L, function(index) ( err[[index]]$abs$day ) ), na.rm=TRUE )
for (i in seq_len(L))
{
plot(err[[i]]$abs$day, type="l", xlab=ifelse(i==1,"Temps (heures)",""),
- ylab=ifelse(i==1,"Moyenne |y - y_hat|",""), ylim=yrange, col=i)
+ ylab=ifelse(i==1,"Moyenne |y - y_hat|",""), ylim=yrange, col=cols[i])
if (i < L)
par(new=TRUE)
}
for (i in seq_len(L))
{
plot(err[[i]]$abs$indices, type="l", xlab=ifelse(i==1,"Temps (jours)",""),
- ylab=ifelse(i==1,"Moyenne |y - y_hat|",""), ylim=yrange, col=i)
+ ylab=ifelse(i==1,"Moyenne |y - y_hat|",""), ylim=yrange, col=cols[i])
if (i < L)
par(new=TRUE)
}
for (i in seq_len(L))
{
plot(err[[i]]$MAPE$day, type="l", xlab=ifelse(i==1,"Temps (heures)",""),
- ylab=ifelse(i==1,"MAPE moyen",""), ylim=yrange, col=i)
+ ylab=ifelse(i==1,"MAPE moyen",""), ylim=yrange, col=cols[i])
if (i < L)
par(new=TRUE)
}
for (i in seq_len(L))
{
plot(err[[i]]$MAPE$indices, type="l", xlab=ifelse(i==1,"Temps (jours)",""),
- ylab=ifelse(i==1,"MAPE moyen",""), ylim=yrange, col=i)
+ ylab=ifelse(i==1,"MAPE moyen",""), ylim=yrange, col=cols[i])
if (i < L)
par(new=TRUE)
}
#' @param fiter Optional filter: return TRUE on indices to process
#'
#' @export
-plotFbox <- function(data, filter=function(index) (TRUE))
+plotFbox <- function(data, filter=function(index) TRUE)
{
if (!requireNamespace("rainbow", quietly=TRUE))
stop("Functional boxplot requires the rainbow package")
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=2, cex.lab=2)
+ par(mfrow=c(1,2), 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)