race_check_2_3

Checks that both sides of the RxC equation for White/Minority and White,
Black, Hispanic, Other, respectively, add up to the same values. If small
rounding issues, adjusts the "other" race category.

Provides a comprehensive suite of tools for estimating the candidate preferences of racial/ethnic voting blocs in elections. Includes functions for predicting voter race/ethnicity and conducting ecological inference. Race/ethnicity prediction builds on race prediction developed by Imai et al. (2016) <doi:10.1093/pan/mpw001>. Ecological inference methods are based on King (1997) <ISBN: 0691012407>, <https://gking.harvard.edu/eicamera/kinroot.html>; King et. al. (2004) <ISBN: 0521542804>, <https://gking.harvard.edu/files/abs/ecinf04-abs.shtml>.

Ari Decter-Frain

eiCompare

Compares Different Ecological Inference Methods

Loren Collingwood

Hikari Murayama

Pratik Sachdeva

Juandalyn Burke

Scott Henderson

Spencer Wood

Matt Barreto

race_check_2_3 function

<dl><dt>dat</dt>
<dd>data.frame() object. One no vote/third party vote column, with
candidate votes (for either 2 or 3 candidates), then up to four demographics
with last as other</dd>
<dt>split</dt>
<dd>Numeric vector of length 2. Default is c(3,4), for two
candidates and one catch-all. c(4,5) for three candidates and one catch
all.</dd>
<dt>catch</dt>
<dd>Logical (TRUE/FALSE). Catch negative values. Default is FALSE</dd>
<dt>catch_col</dt>
<dd>Column names to be catched.</dd>
<dt>print_sides</dt>
<dd>Logical (TRUE/FALSE). Print out evaluations. Default is
TRUE</dd></dl>

Arguments

Loren Collingwood &lt;loren.collingwood@ucr.edu&gt;

Author

race_check_2_3 — race_check_2_3

<dl>

<dt>dat</dt>
<dd>data.frame() object. One no vote/third party vote column, with
candidate votes (for either 2 or 3 candidates), then up to four demographics
with last as other</dd>


<dt>split</dt>
<dd>Numeric vector of length 2. Default is c(3,4), for two
candidates and one catch-all. c(4,5) for three candidates and one catch
all.</dd>


<dt>catch</dt>
<dd>Logical (TRUE/FALSE). Catch negative values. Default is FALSE</dd>


<dt>catch_col</dt>
<dd>Column names to be catched.</dd>


<dt>print_sides</dt>
<dd>Logical (TRUE/FALSE). Print out evaluations. Default is
TRUE</dd>

</dl>

race_check_2_3: race_check_2_3

Description

Usage

Value

Arguments

Author

Examples