get_word_count

A "word" is defined as a string of alphabetical characters separated by
either spaces or dashes (but not other special characters).

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

get_word_count function

<dl><dt>voter_file</dt>
<dd>The voter file, with each row consisting of a voter.</dd>
<dt>surname_col</dt>
<dd>A string denoting the surname column.</dd>
<dt>regex</dt>
<dd>A string denoting the regular expression to use for querying the
the word count.</dd></dl>

Arguments

Counts the number of words per row in the column of a dataframe. — get_word_count

<dl>

<dt>voter_file</dt>
<dd>The voter file, with each row consisting of a voter.</dd>


<dt>surname_col</dt>
<dd>A string denoting the surname column.</dd>


<dt>regex</dt>
<dd>A string denoting the regular expression to use for querying the
the word count.</dd>

</dl>

get_word_count: Counts the number of words per row in the column of a dataframe.

Description

Usage

Value

Arguments