recode_as_na_for

Recode Values as NA if they meet defined criteria

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

recode_as_na_for function

<dl><dt>df</dt>
<dd>A data.frame object to manipulate</dd>
<dt>criteria</dt>
<dd>One of gt,gteq,lt,lteq to define greater than, greater than or equal to,
less than or less than or equal to.</dd>
<dt>value</dt>
<dd>The value to convert to `NA`. We can for instance change "n/a" to `NA` or any other value.</dd>
<dt>subset_cols</dt>
<dd>An optional character vector for columns to manipulate.</dd></dl>

Arguments

Recode Values as NA if they meet defined criteria — recode_as_na_for

<dl>

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


<dt>criteria</dt>
<dd>One of gt,gteq,lt,lteq to define greater than, greater than or equal to,
less than or less than or equal to.</dd>


<dt>value</dt>
<dd>The value to convert to `NA`. We can for instance change "n/a" to `NA` or any other value.</dd>


<dt>subset_cols</dt>
<dd>An optional character vector for columns to manipulate.</dd>

</dl>

recode_as_na_for: Recode Values as NA if they meet defined criteria

Description

Usage

Value

Arguments

Examples