Vectorizing 'yearmon' elements may not preserve their attributes

[ghost]

Hello,

I have been reproducing the examples that you have in Business Science and this warning is shown and therefore the dates doesn't appear like those you have in the blog post. I have seen that it's something related with dplyr...

This problem appears with the function sw_sweep

Warning messages:
1: In bind_rows_(x, .id) :
  Vectorizing 'yearmon' elements may not preserve their attributes
2: In bind_rows_(x, .id) :
  Vectorizing 'yearmon' elements may not preserve their attributes 

A reproducible example exist in this vignette

Cheers

[mdancho84]

Yes, we are aware of this issue, and we've requested changes to retain yearmon and yearqtr classes when binding rows. The dplyr issue is: tidyverse/dplyr#2457

[sco-lo-digital]

A way to get around it is to use zoo::as.Date(., frac=1) to coerce the yearmon or yearqtr object to a date. Then unnest has no problem with it.

[mdancho84]

Nice hack!

[ghost]

The solution that I took it was convert to dates using zoo::as.Date.yearmon

[SuperJohn]

In reference to the example in the vignette, Forecasting Multiple Models, how do apply these hacks to resolve this issue? I can't figure out how or where to apply "zoo::as.Date(., frac=1)" to reconcile my dates. Thanks!

models_tbl_fcast_tidy %>%
  unnest(sweep) 

# Warning....1: In bind_rows_(x, .id)....Vectorizing 'yearmon' elements may not preserve their attributes