Thank you so much Eric! Wonderful to have an R community helping out so 
quickly! 

> Op 12 aug. 2020, om 14:10 heeft Eric Berger <ericjber...@gmail.com> het 
> volgende geschreven:
> 
> Hi Frederik,
> (short answer) modify the assignment statement to
>     agg_d_h <- rbind( agg_d_h, data.frame(Group.date=next_date,x=0) )
> 
>     Note: replace x=0 by your-variable-name=0
>     Note: left-hand-side of the assignment statement should be agg_d_h
> 
> (longer answer) Your approach is far from the best way to do this task, for a 
> variety of reasons.
> If you think that in the future you will be working a lot with daily time 
> series and need to perform similar tasks, I would strongly recommend learning 
> the xts data structure in the xts package.
> If you have several time series with different date ranges, and all of them 
> are xts objects, you can merge them with 'joins' (left joins, right joins, 
> full joins). xts will automatically handle alignment
> and preserving dates, etc. 
> 
> HTH,
> Eric
> 
> 
>   
> 
> On Wed, Aug 12, 2020 at 2:44 PM Frederik Feys <fref...@gmail.com 
> <mailto:fref...@gmail.com>> wrote:
> I am having a hell of a time, this must surely be simple to solveā€¦.
> 
> Basically I want to add trailing dates to datasets with differing starting 
> dates so that across datasets I have the same starting date.
> 
> # make dataset with the same starting date
> start_date = as.Date("2020-03-01")
> d_start_date = min(agg_d_h$Group.date)
> 
> diff_in_days = as.numeric(difftime(d_start_date, start_date, units = "days")) 
> 
> for(i in 1:diff_in_days) {
>   next_date  = start_date+i
>   app_d <- rbind(agg_d_h, c(next_date, 0) )
> }
> 
> gives:
> Error in as.Date.numeric(value) : 'origin' must be supplied
> 
> Thank you for your time to help me!
> 
> Frederik Feys
> 
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