Functions for working with the vctrs package
These make it clear that we need to use the tibble behavior when joining,
concatenating or casting skim_df objects. For a better discussion, on
why this is important and how these functions work, see:
https://vctrs.r-lib.org/reference/howto-faq-coercion-data-frame.html.
## S3 method for class 'skim_df.skim_df' vec_ptype2(x, y, ...) ## S3 method for class 'skim_df.tbl_df' vec_ptype2(x, y, ...) ## S3 method for class 'tbl_df.skim_df' vec_ptype2(x, y, ...) ## S3 method for class 'skim_df.skim_df' vec_cast(x, to, ...) ## S3 method for class 'skim_df.tbl_df' vec_cast(x, to, ...) ## S3 method for class 'tbl_df.skim_df' vec_cast(x, to, ...)
vec_ptype2.* handles finding common prototypes between skim_df and
similar objects. vec_cast.* handles casting between objects. Note that
as of dplyr 1.0.2, dplyr::bind_rows() does not full support combining
attributes and vctrs::vec_rbind() is preferred instead.
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