plot.strata_doctopic

Plot document-topic distribution by strata (for covariate models)

Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the latent dirichlet allocation (LDA) models with a small number of keywords selected by researchers in order to improve the interpretability and topic classification of the LDA. The keyATM can also incorporate covariates and directly model time trends. The keyATM is proposed in Eshima, Imai, and Sasaki (2024) <doi:10.1111/ajps.12779>.

Shusei Eshima

keyATM

Keyword Assisted Topic Models

Tomoya Sasaki

Kosuke Imai

Chung-hong Chan

Romain François

Martin Feldkircher

William Lowe

Seo-young Silvia Kim

plot.strata_doctopic function

<dl><dt>x</dt>
<dd>a strata_doctopic object (see <code>by_strata_DocTopic()</code>).</dd>
<dt>show_topic</dt>
<dd>a vector or an integer. Indicate topics to visualize.</dd>
<dt>var_name</dt>
<dd>the name of the variable in the plot.</dd>
<dt>by</dt>
<dd><code>topic</code> or <code>covariate</code>. Default is by <code>topic</code>.</dd>
<dt>ci</dt>
<dd>value of the credible interval (between 0 and 1) to be estimated. Default is <code>0.9</code> (90%).</dd>
<dt>method</dt>
<dd>method for computing the credible interval. The Highest Density Interval (<code>hdi</code>, default) or Equal-tailed Interval (<code>eti</code>).</dd>
<dt>point</dt>
<dd>method for computing the point estimate. <code>mean</code> (default) or <code>median</code>.</dd>
<dt>width</dt>
<dd>numeric. Width of the error bars.</dd>
<dt>show_point</dt>
<dd>logical. Show point estimates. The default is <code>TRUE</code>.</dd>
<dt>...</dt>
<dd>additional arguments not used.</dd></dl>

Arguments

Plot document-topic distribution by strata (for covariate models) — plot.strata_doctopic

<dl>

<dt>x</dt>
<dd>a strata_doctopic object (see <code>by_strata_DocTopic()</code>).</dd>


<dt>show_topic</dt>
<dd>a vector or an integer. Indicate topics to visualize.</dd>


<dt>var_name</dt>
<dd>the name of the variable in the plot.</dd>


<dt>by</dt>
<dd><code>topic</code> or <code>covariate</code>. Default is by <code>topic</code>.</dd>


<dt>ci</dt>
<dd>value of the credible interval (between 0 and 1) to be estimated. Default is <code>0.9</code> (90%).</dd>


<dt>method</dt>
<dd>method for computing the credible interval. The Highest Density Interval (<code>hdi</code>, default) or Equal-tailed Interval (<code>eti</code>).</dd>


<dt>point</dt>
<dd>method for computing the point estimate. <code>mean</code> (default) or <code>median</code>.</dd>


<dt>width</dt>
<dd>numeric. Width of the error bars.</dd>


<dt>show_point</dt>
<dd>logical. Show point estimates. The default is <code>TRUE</code>.</dd>


<dt>...</dt>
<dd>additional arguments not used.</dd>

</dl>

plot.strata_doctopic: Plot document-topic distribution by strata (for covariate models)

Description

Usage

Value

Arguments

See Also