frac_complete

Demand minimal fraction of complete records

Estimate group aggregates, where one can set user-defined conditions
that each group of records must satisfy to be suitable for aggregation. If
a group of records is not suitable, it is expanded using a collapsing scheme
defined by the user. A paper on this package was published in the Journal
of Statistical Software <doi:10.18637/jss.v112.i04>.

Mark der Loo

accumulate

Split-Apply-Combine with Dynamic Groups

Mark van der Loo

frac_complete function

<dl><dt>r</dt>
<dd>Minimal fraction of records that must be complete.</dd>
<dt>vars</dt>
<dd><code>[TRUE|column index]</code> Column index into the data to
be tested (e.g. a character vectod with variable names or
a numeric vector with column positions). The indexed columns
will be testsed for completeness (absence of <code>NA</code>). Be default
<code>vars=TRUE</code> meaning that all columns are taken into account.</dd></dl>

Arguments

Demand minimal fraction of complete records — frac_complete

<dl>

<dt>r</dt>
<dd>Minimal fraction of records that must be complete.</dd>


<dt>vars</dt>
<dd><code>[TRUE|column index]</code> Column index into the data to
be tested (e.g. a character vectod with variable names or
a numeric vector with column positions). The indexed columns
will be testsed for completeness (absence of <code>NA</code>). Be default
<code>vars=TRUE</code> meaning that all columns are taken into account.</dd>

</dl>

frac_complete: Demand minimal fraction of complete records

Description

Usage

Value

Arguments

See Also

Examples