gt_f

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

gt_f function

<dl><dt>data</dt>
<dd><code>data.frame</code> containing data for analysis</dd>
<dt>kw</dt>
<dd>a string of the search keyword</dd>
<dt>date_col</dt>
<dd>a string specifying the date column name</dd>
<dt>date_type</dt>
<dd>The date column type as either of the following strings:'weekly starting','weekly ending','daily'</dd>
<dt>geo</dt>
<dd>a string specifying the country code of the search found in <code>countrycode::codelist</code></dd>
<dt>append</dt>
<dd>a boolean specifying whether to return the original data.frame as well as the added column</dd></dl>

Arguments

apply_normalisation — gt_f

<dl>

<dt>data</dt>
<dd><code>data.frame</code> containing data for analysis</dd>


<dt>kw</dt>
<dd>a string of the search keyword</dd>


<dt>date_col</dt>
<dd>a string specifying the date column name</dd>


<dt>date_type</dt>
<dd>The date column type as either of the following strings:'weekly starting','weekly ending','daily'</dd>


<dt>geo</dt>
<dd>a string specifying the country code of the search found in <code>countrycode::codelist</code></dd>


<dt>append</dt>
<dd>a boolean specifying whether to return the original data.frame as well as the added column</dd>

</dl>

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gt_f: apply_normalisation

Description

Usage

Value

Arguments

Details

Examples