GSS2018

Subset of the General Social Survey analyzed by Schoon, Melamed, and Breiger (2024). Full details on the variable selection and source information is available therein.

datasets

Turns regression models inside out. Functions decompose variances and coefficients for various regression model types. Functions also visualize regression model objects using techniques developed in Schoon, Melamed, and Breiger (2024) <doi:10.1017/9781108887205>.

David Melamed

rioplot

Turn a Regression Model Inside Out

Ronald L. Breiger

Eric W. Schoon

GSS2018 function

A data frame with 558 observations on the following 7 variables.<dl>
 <dt><code>dog</code></dt>
<dd>a numeric vector</dd> <dt><code>race</code></dt>
<dd>a numeric vector</dd> <dt><code>sex</code></dt>
<dd>a numeric vector</dd> <dt><code>children</code></dt>
<dd>a numeric vector</dd> <dt><code>married</code></dt>
<dd>a numeric vector</dd> <dt><code>age</code></dt>
<dd>a numeric vector</dd> <dt><code>income</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Subset of the General Social Survey analyzed by Schoon, Melamed, and Breiger (2024) — GSS2018

A data frame with 558 observations on the following 7 variables.<dl>
 <dt><code>dog</code></dt>
<dd>a numeric vector</dd>

 <dt><code>race</code></dt>
<dd>a numeric vector</dd>

 <dt><code>sex</code></dt>
<dd>a numeric vector</dd>

 <dt><code>children</code></dt>
<dd>a numeric vector</dd>

 <dt><code>married</code></dt>
<dd>a numeric vector</dd>

 <dt><code>age</code></dt>
<dd>a numeric vector</dd>

 <dt><code>income</code></dt>
<dd>a numeric vector</dd>

 
</dl>

GSS2018: Subset of the General Social Survey analyzed by Schoon, Melamed, and Breiger (2024)

Description

Usage

Arguments

Format

References

Examples