USvote2016

Self-reported votes from 2016 VOTER Survey by
dfvsg2017;textualplot3logit. Object <code>USvote2016</code> includes only
few variables based on the result of the survey, which are publicly available
online. See file <code>"data-raw/USvote2016_prepare.R"</code> in the GitHub repository
<code>"f-santi/plot3logit"</code> (<a href="https://github.com/f-santi/plot3logit">https://github.com/f-santi/plot3logit</a>), where
it is documented how the dataset <code>USvote2016</code> has been generated.

data

An implementation of the ternary plot for interpreting regression
coefficients of trinomial regression models, as proposed in Santi, Dickson
and Espa (2019) <doi:10.1080/00031305.2018.1442368>. Ternary plots can be
drawn using either 'ggtern' package (based on 'ggplot2') or 'Ternary'
package (based on standard graphics).

Flavio Santi

plot3logit

Ternary Plots for Trinomial Regression Models

Maria Michela Dickson

Giuseppe Espa

USvote2016 function

<code>tibble</code> (<code>data.frame</code>) with 8000 observations of 7 variables:<dl class="dl-horizontal">
<dt>idcode:</dt><dd>voter identifier (integer).</dd>
<dt>vote:</dt><dd>declared vote, afactor with three levels: "Clinton", "Trump",
"Other".</dd>
<dt>race:</dt><dd>race, a factor with six levels: "White", "Black", "Hispanic",
"Asian", "Mixed",
"Other".</dd>
<dt>educ:</dt><dd>level of education, a factor with six levels: "No high school",
"High school grad.", "Some college", "2-year college", "4-year college",
"Post-grad".</dd>
<dt>gender:</dt><dd>gender, a factor with four levels: "Male", "Female", "Skipped",
"Not Asked".</dd>
<dt>birthyr:</dt><dd>decades when the voter was born, a factor with six levels:
"[1920,1940)", "[1940,1950)", "[1950,1960)", "[1960,1970)", "[1970,1980)",
"[1980,2000)".</dd>
<dt>famincome:</dt><dd>income (in USD) of voter's family, a factor with five
levels: "[0; 30,000)", "[30,000; 60,000)", "[60,000; 100,000)",
"[100,000; 150,000)", "[150,000; Inf)".</dd>
</dl>

Format

Self-reported votes from 2016 VOTER Survey by
dfvsg2017;textualplot3logit. Object <code>USvote2016</code> includes only
few variables based on the result of the survey, which are publicly available
online. See file <code>"data-raw/USvote2016_prepare.R"</code> in the GitHub repository
<code>"f-santi/plot3logit"</code> (<a href='https://github.com/f-santi/plot3logit'>https://github.com/f-santi/plot3logit</a>), where
it is documented how the dataset <code>USvote2016</code> has been generated.

Self-reported votes from VOTER Survey in 2016 — USvote2016

<code>tibble</code> (<code>data.frame</code>) with 8000 observations of 7 variables:<dl class='dl-horizontal'>
<dt>idcode:</dt><dd>voter identifier (integer).</dd>
<dt>vote:</dt><dd>declared vote, afactor with three levels: "Clinton", "Trump",
"Other".</dd>
<dt>race:</dt><dd>race, a factor with six levels: "White", "Black", "Hispanic",
"Asian", "Mixed",
"Other".</dd>
<dt>educ:</dt><dd>level of education, a factor with six levels: "No high school",
"High school grad.", "Some college", "2-year college", "4-year college",
"Post-grad".</dd>
<dt>gender:</dt><dd>gender, a factor with four levels: "Male", "Female", "Skipped",
"Not Asked".</dd>
<dt>birthyr:</dt><dd>decades when the voter was born, a factor with six levels:
"[1920,1940)", "[1940,1950)", "[1950,1960)", "[1960,1970)", "[1970,1980)",
"[1980,2000)".</dd>
<dt>famincome:</dt><dd>income (in USD) of voter's family, a factor with five
levels: "[0; 30,000)", "[30,000; 60,000)", "[60,000; 100,000)",
"[100,000; 150,000)", "[150,000; Inf)".</dd>
</dl>

USvote2016: Self-reported votes from VOTER Survey in 2016

Description

Arguments

Format

References