key.grouped_df

Fetches the key for a grouped_df as character vector

Supports systematic scrutiny, modification, and integration of
data. The function status() counts rows that have missing values in
grouping columns (returned by na() ), have non-unique combinations of
grouping columns (returned by dup() ), and that are not locally sorted
(returned by unsorted() ). Functions enumerate() and itemize() give
sorted unique combinations of columns, with or without occurrence counts,
respectively. Function ignore() drops columns in x that are present in y,
and informative() drops columns in x that are entirely NA; constant() returns
values that are constant, given a key.  Data that have defined unique
combinations of grouping values behave more predictably during merge operations.

Tim Bergsma

wrangle

A Systematic Data Wrangling Idiom

key.grouped_df function

<dl><dt>x</dt>
<dd>data.frame</dd>
<dt>...</dt>
<dd>columns to show</dd></dl>

Arguments

Fetch the key for a grouped_df as character vector — key.grouped_df

<dl>

<dt>x</dt>
<dd>data.frame</dd>


<dt>...</dt>
<dd>columns to show</dd>

</dl>

key.grouped_df: Fetch the key for a grouped_df as character vector

Description

Usage

Value

Arguments

See Also