constant.grouped_df

Returns columns of a grouped_df whose values do not vary within subsets defined by groups. 
If any grouping arguments (dots) are supplied, existing groups are over-ridden.

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

constant.grouped_df function

<dl><dt>x</dt>
<dd>object</dd>
<dt>...</dt>
<dd>grouping columns</dd></dl>

Arguments

Identify Constant Features of a Grouped Data Frame — constant.grouped_df

<dl>

<dt>x</dt>
<dd>object</dd>


<dt>...</dt>
<dd>grouping columns</dd>

</dl>

constant.grouped_df: Identify Constant Features of a Grouped Data Frame

Description

Usage

Value

Arguments

See Also