naGroups.grouped_df

Counts records with NA values of grouping variables.

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

naGroups.grouped_df function

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

Arguments

Count records with NA values of grouping variables. — naGroups.grouped_df

<dl>

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


<dt>...</dt>
<dd>ignored</dd>

</dl>

naGroups.grouped_df: Count records with NA values of grouping variables.

Description

Usage

Value

Arguments

See Also