add_total_pool_to_data

Add an aggregated set of observations to a <code>data.frame</code>

An interface to accelerate linear regression (Ordinary least squares) modelling, which
allows users to build models quickly, while automatically generating interactive visualizations of the results.
Non-linear models specification (e.g. y = b1*x1 + b2*log(x2)) can be easily constructed using user-defined transformations.
Functions for testing wide ranges of model specifications (e.g. y = b*log(x,10) , y = b*log(x,20) , ...), all at once, are also available.
Finally, models can be imported and exported as Excel files where all the information necessary for re-running the models is stored in separate sheets.

Claudio Paladini

linea

Linear Regression Interface

add_total_pool_to_data function

<dl><dt>data</dt>
<dd>A <code>data.frame</code> containing the pool and id variables provided.</dd>
<dt>pool_var</dt>
<dd>A string representing the variable name of the pool variable.</dd>
<dt>id_var</dt>
<dd>A string representing the variable name of the id variable.</dd></dl>

Arguments

add_total_pool_to_data — add_total_pool_to_data

<dl>

<dt>data</dt>
<dd>A <code>data.frame</code> containing the pool and id variables provided.</dd>


<dt>pool_var</dt>
<dd>A string representing the variable name of the pool variable.</dd>


<dt>id_var</dt>
<dd>A string representing the variable name of the id variable.</dd>

</dl>

add_total_pool_to_data: add_total_pool_to_data

Description

Usage

Value

Arguments

Details