search for: week_end

Hi everyone Please, I need one more help you I have some data that need to make a forecast. I´m using the command: Yst<-print(ts<-ts(Y,start=c(1,5),freq=7),calendar=T) to create the dayly time series by the dataframe Y. My data Y means: Y=measure dayly , start at 01/jul/2010 (thursday), for this reason that I use c(1,5). I need to create the time series aggregate by weakly (and not dayly as

...parent=parent, timevar=timevar, by=by)) reduction_function <- function(filename, upc, parent, timevar, by, save.dir=NA) { load(filename) # imports move a potentially large data.table (memory size 10 MiB-50 GiB) move[, c(timevar, 'year') := list(floor_date(week_end, unit=timevar), year(week_end))] move <- merge(move, upc, by=c('upc')) # adds is_PL column, a boolean move <- merge(move, parent, by=c('store', 'year') # adds parent column, an integer setkeyv(move, by) # this...