filter = (params$indices >= first_day)
indices = params$indices[filter]
weights = params$weights[filter]
+ realtime = ifelse(hasArg("realtime"), list(...)$realtime, FALSE)
if (any(is.na(weights) | is.na(indices)))
return (NA)
gaps = sapply(indices, function(i) {
- data$getSerie(i+1)[1] - tail(data$getSerie(i), 1)
+ data$getSerie(i+1,hat=(realtime && i+1==today))[1] - tail(data$getSerie(i), 1)
})
scal_product = weights * gaps
norm_fact = sum( weights[!is.na(scal_product)] )