transform_data

Transforms specific columns of a data.frame to match the requirements of
the standard analysis model.

Implementation of the Swiss Confederation's standard analysis
model for salary analyses
<https://www.ebg.admin.ch/en/equal-pay-analysis-with-logib> in R. The
analysis is run at company-level and the model is intended for
medium-sized and large companies. It can technically be used with 50
or more employees (apprentices, trainees/interns and expats are not
included in the analysis). Employees with at least 100 employees are
required by the Gender Equality Act to conduct an equal pay analysis.
This package allows users to run the equal salary analysis in R,
providing additional transparency with respect to the methodology and
simple automation possibilities.

Marc Stöckli

logib

Salary Analysis by the Swiss Federal Office for Gender Equality

Jonathan Chassot

Jeremy Kolly

Federal Office for Gender Equality of Switzerland 

transform_data function

<dl><dt>data</dt>
<dd>a dataframe object as produced by <code>read_data</code> which is to
be transformed</dd>
<dt>reference_year</dt>
<dd>a number indicating the reference year of the analysis</dd>
<dt>usual_weekly_hours</dt>
<dd>an optional numeric representing the usual weekly
working hours</dd>
<dt>female_spec</dt>
<dd>a string or number indicating the way females are
specified in the dataset.</dd>
<dt>male_spec</dt>
<dd>a string or number indicating the way males are
specified in the dataset</dd>
<dt>age_spec</dt>
<dd>a string indicating the age specification, can be one of
<code>NULL</code>, <code>"age"</code>, <code>"birthyear"</code>, or <code>"date_of_birth"</code>. If
this parameter is set to <code>NULL</code>, the function automatically tries to
infers the specification</dd>
<dt>entry_date_spec</dt>
<dd>a string indicating the entry_date specification, can
be one of <code>NULL</code>, <code>"years"</code>, <code>"entry_year"</code>, or
<code>"entry_date"</code>. If this parameter is set to <code>NULL</code>, the function
automatically tries to infers the specification</dd></dl>

Arguments

Transform a data.frame according to the requirements of the model — transform_data

<dl>

<dt>data</dt>
<dd>a dataframe object as produced by <code>read_data</code> which is to
be transformed</dd>


<dt>reference_year</dt>
<dd>a number indicating the reference year of the analysis</dd>


<dt>usual_weekly_hours</dt>
<dd>an optional numeric representing the usual weekly
working hours</dd>


<dt>female_spec</dt>
<dd>a string or number indicating the way females are
specified in the dataset.</dd>


<dt>male_spec</dt>
<dd>a string or number indicating the way males are
specified in the dataset</dd>


<dt>age_spec</dt>
<dd>a string indicating the age specification, can be one of
<code>NULL</code>, <code>"age"</code>, <code>"birthyear"</code>, or <code>"date_of_birth"</code>. If
this parameter is set to <code>NULL</code>, the function automatically tries to
infers the specification</dd>


<dt>entry_date_spec</dt>
<dd>a string indicating the entry_date specification, can
be one of <code>NULL</code>, <code>"years"</code>, <code>"entry_year"</code>, or
<code>"entry_date"</code>. If this parameter is set to <code>NULL</code>, the function
automatically tries to infers the specification</dd>

</dl>

transform_data: Transform a data.frame according to the requirements of the model

Description

Usage

Arguments