CODEWITHSUNDEEP
rforecastingdecompositionstl-decomposition
Bryan
Bryan

Reputation: 6149

Non-nested double seasonality using dshw() in R

I'm trying to use dshw() to deal with double seasonality -- in my case, daily data with one-week (7-day) and one-year (365-day) seasonality. However, I get the following error when I run my code:

data<-msts(1:1000, seasonal.periods=c(7,365), ts.frequency=365, start=2012)
decompose<-dshw(data, period1=7, period2=365)
 -- Error in dshw(data, period1 = 7, period2 = 365) : Seasonal periods are not nested

What do you think is the best practice to get around this issue? Should I just use stl twice on my data (for 7 and 365 day frequencies)? Or modify the data in some way?

Thanks!

Upvotes: 1

Views: 1972

Answers (2)

Bhavana bharti
Bhavana bharti

Reputation: 31

If you define period2 in terms of period1 then you won't get the error.

Instead of:

decompose<-dshw(data, period1=7, period2=365)

use:

decompose<-dshw(data, period1=7, period2=7*52)

Upvotes: 0

Rob Hyndman
Rob Hyndman

Reputation: 31800

Try the tbats() model instead. It was specifically designed to avoid this problem. DSHW is a special case of a TBATS model.

decompose <- tbats(data)

Upvotes: 2

Related Questions