sort_by_missingness

Provides a useful way to sort the variables(columns) according
to their missingness.

Correct identification and handling of missing data is one of the most important steps in any analysis. To aid this process, 'mde' provides a very easy to use yet robust framework to quickly get an idea of where the missing data
lies and therefore find the most appropriate action to take.
Graham WJ (2009) <doi:10.1146/annurev.psych.58.110405.085530>.

Nelson Gonzabato

Missing Data Explorer

sort_by_missingness function

<dl><dt>df</dt>
<dd>A data.frame object</dd>
<dt>sort_by</dt>
<dd>One of counts or percents. This determines whether the results are sorted by counts or percentages.</dd>
<dt>descending</dt>
<dd>Logical. Should missing values be sorted in decreasing order ie largest to smallest? Defaults to FALSE.</dd>
<dt>...</dt>
<dd>Other arguments to specific functions. See "See also below"</dd></dl>

Arguments

Sort Variables according to missingness — sort_by_missingness

<dl>

<dt>df</dt>
<dd>A data.frame object</dd>


<dt>sort_by</dt>
<dd>One of counts or percents. This determines whether the results are sorted by counts or percentages.</dd>


<dt>descending</dt>
<dd>Logical. Should missing values be sorted in decreasing order ie largest to smallest? Defaults to FALSE.</dd>


<dt>...</dt>
<dd>Other arguments to specific functions. See "See also below"</dd>

</dl>

sort_by_missingness: Sort Variables according to missingness

Description

Usage

Value

Arguments

See Also

Examples