modelPlot

Plots feature counts and coefficients from a trained LASSO model
This plots the coefficients from a trained LASSO model.

Detecting markers of politeness in English natural language. This package allows researchers to easily visualize and quantify politeness between groups of documents. This package combines prior research on the linguistic markers of politeness. We thank the Spencer Foundation, the Hewlett Foundation, and Harvard's Institute for Quantitative Social Science for support.

Mike Yeomans

politeness

Detecting Politeness Features in Text

Alejandro Kantor

Dustin Tingley

modelPlot function

<dl><dt>model1</dt>
<dd>Trained glmnet model</dd>
<dt>counts</dt>
<dd>Feature counts - either from training data or test data (choose based on application of interest)</dd>
<dt>model2</dt>
<dd>Trained glmnet model (optional) If you want the Y axis to reflect a second set of coefficients, instead of feature counts.</dd>
<dt>dat</dt>
<dd>logical If TRUE, then function will return a list with the data.frame used for plotting, as well as the plot itself.</dd></dl>

Arguments

LASSO Coefficient Plot — modelPlot

<dl>

<dt>model1</dt>
<dd>Trained glmnet model</dd>


<dt>counts</dt>
<dd>Feature counts - either from training data or test data (choose based on application of interest)</dd>


<dt>model2</dt>
<dd>Trained glmnet model (optional) If you want the Y axis to reflect a second set of coefficients, instead of feature counts.</dd>


<dt>dat</dt>
<dd>logical If TRUE, then function will return a list with the data.frame used for plotting, as well as the plot itself.</dd>

</dl>

modelPlot: LASSO Coefficient Plot

Description

Usage

Value

Arguments