I am trying to use the tidyverts packages (tsibble, feasts, fable) to do some time series analysis. I am following along the tutorial here. The data is ten years of daily counts.
> summary(mockTsib)
Date CallTypeCode calls
Min. :2010-01-01 Length:11181 Min. : 0.00
1st Qu.:2012-07-20 Class :character 1st Qu.: 7.00
Median :2015-02-07 Mode :character Median : 21.00
Mean :2015-02-07 Mean : 32.71
3rd Qu.:2017-08-27 3rd Qu.: 58.00
Max. :2020-03-15 Max. :148.00
I have a mable with one key column, three rows, and two columns of models (ets and arima).
> mockMod
# A mable: 3 x 3
# Key: CallTypeCode [3]
CallTypeCode ets arima
<chr> <model> <model>
1 A <ETS(A,N,A)> <ARIMA(2,1,1)(0,0,2)[7]>
2 B <ETS(A,N,A)> <ARIMA(2,1,2)(1,0,0)[7]>
3 S <ETS(A,N,A)> <ARIMA(0,1,2)(2,0,0)[7]>
When I pipe to forecast() to forecast 30 days of data, I get the following error:
> mockMod %>% forecast(h = 30)
Error: Can't slice a scalar
However when I pass the model columns directly to forecast(), it seems there's no problem.
etsPredictions <- mockMod$ets %>% forecast(h = 30)
arimaPredictions <- mockMod$arima %>% forecast(h = 30)
I can then manually build the fable, but that is a real pain, and I'm worried that I'm skipping an error that I don't understand.
Can anyone help me understand this error?