defaultFactorSummaries

Default options for which summaries to apply on
factor type variables in <code><a href="/link/check?package=dataReporter&version=1.0.5" data-mini-rdoc="dataReporter::check">check</a></code> and <code>makeDataReport</code>,
possibly user-modified by adding extra function names using <code>add</code> or 
removing default function names with <code>remove</code>.

Data screening is an important first step of any statistical
analysis. 'dataReporter' auto generates a customizable data report with a thorough
summary of the checks and the results that a human can use to identify possible
errors. It provides an extendable suite of test for common potential
errors in a dataset. See Petersen AH, Ekstrøm CT (2019). "dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R." _Journal of Statistical Software_, *90*(6), 1-38 <doi:10.18637/jss.v090.i06> for more information.

Claus Ekstrom

dataReporter

Reproducible Data Screening Checks and Report of Possible Errors

Anne Helby Petersen

Claus Thorn Ekstrøm

defaultFactorSummaries function

<dl><dt>remove</dt>
<dd>Character vector of function names. Checks to remove from the returned vector</dd>
<dt>add</dt>
<dd>Character vector of function names. Checks to add to the returned vector</dd></dl>

Arguments

Default options for which summaries to apply on
factor type variables in <code><a href='https://rdrr.io/r/utils/PkgUtils.html'>check</a></code> and <code>makeDataReport</code>,
possibly user-modified by adding extra function names using <code>add</code> or 
removing default function names with <code>remove</code>.

Default summary functions for factor variables — defaultFactorSummaries

<dl>

<dt>remove</dt>
<dd>Character vector of function names. Checks to remove from the returned vector</dd>


<dt>add</dt>
<dd>Character vector of function names. Checks to add to the returned vector</dd>

</dl>

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defaultFactorSummaries: Default summary functions for factor variables

Description

Usage

Value

Arguments

See Also

Examples