skimr-vctrs: Functions for working with the vctrs package

In skimr: Compact and Flexible Summaries of Data

Functions for working with the vctrs package

Description

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.

Usage

## 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, ...)

Details

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.

skimr documentation built on Dec. 28, 2022, 2:45 a.m.