L = length(ref_serie)
# Determine indices of no-NAs days followed by no-NAs tomorrows
- first_day = ifelse(length(data$getCenteredSerie(1))<L, 2, 1)
- fdays_indices = c()
- for (i in first_day:(index-1))
+ fdays = c()
+ for (i in 1:(index-1))
{
if ( !any(is.na(data$getSerie(i)) | is.na(data$getSerie(i+1))) )
- fdays_indices = c(fdays_indices, i)
+ fdays = c(fdays, i)
}
- distances = sapply(fdays_indices, function(i) {
+ distances = sapply(fdays, function(i) {
sqrt( sum( (ref_serie - data$getCenteredSerie(i))^2 ) / L )
})
indices = sort(distances, index.return=TRUE)$ix[1:min(limit,length(distances))]
yrange = quantile( c(ref_serie, sapply( indices, function(i) {
- ii = fdays_indices[i]
- serie = c(data$getCenteredSerie(ii), data$getCenteredSerie(ii+1))
+ serie = c(data$getCenteredSerie(fdays[i]), data$getCenteredSerie(fdays[i]+1))
if (!all(is.na(serie)))
return (range(serie, na.rm=TRUE))
c()
par(mar=c(4.7,5,1,1), cex.axis=1.5, cex.lab=1.5, lwd=2)
for ( i in seq_len(length(indices)+1) )
{
- ii = ifelse(i<=length(indices), fdays_indices[ indices[plot_order[i]] ], index)
+ ii = ifelse(i<=length(indices), fdays[ indices[plot_order[i]] ], index)
plot(c(data$getCenteredSerie(ii),data$getCenteredSerie(ii+1)),
ylim=yrange, type="l", col=colors[i],
xlab=ifelse(i==1,"Temps (en heures)",""), ylab=ifelse(i==1,"PM10 centré",""))
}
abline(v=24, lty=2, col=colors()[56])
}
- list("indices"=c(fdays_indices[ indices[plot_order] ],index), "colors"=colors)
+ list("indices"=c(fdays[ indices[plot_order] ],index), "colors"=colors)
}
#' @title Plot similarities
if (!requireNamespace("rainbow", quietly=TRUE))
stop("Functional boxplot requires the rainbow package")
- start_index = 1
- end_index = data$getSize()
- if (length(data$getCenteredSerie(1)) < length(data$getCenteredSerie(2)))
- {
- # Shifted start (7am, or 1pm, or...)
- start_index = 2
- end_index = data$getSize() - 1
- }
-
L = length(data$getCenteredSerie(2))
- series_matrix = sapply(start_index:end_index, function(index) {
+ series_matrix = sapply(1:data$getSize(), function(index) {
if (filter(index))
as.matrix(data$getSerie(index))
else
ref_var = apply(ref_series, 2, sd)
# Determine indices of no-NAs days followed by no-NAs tomorrows
- first_day = ifelse(length(data$getCenteredSerie(1))<length(ref_series[1,]), 2, 1)
- fdays_indices = c()
- for (i in first_day:(tail(indices,1)-1))
+ fdays = c()
+ for (i in 1:(tail(indices,1)-1))
{
if ( !any(is.na(data$getSerie(i)) | is.na(data$getSerie(i+1))) )
- fdays_indices = c(fdays_indices, i)
+ fdays = c(fdays, i)
}
# TODO: 3 == magic number
random_var = matrix(nrow=3, ncol=48)
for (mc in seq_len(nrow(random_var)))
{
- random_indices = sample(fdays_indices, length(indices))
+ random_indices = sample(fdays, length(indices))
random_series = t( sapply(random_indices, function(i) {
c( data$getSerie(i), data$getSerie(i+1) )
}) )