members

Lookup table of member names and metadata for regex matching.

Extracts information from text using lookup tables of regular
expressions. Each text entry is compared against all patterns, and all
matching patterns and their corresponding substrings are returned. If a
text entry matches multiple patterns, multiple rows are generated to
capture each match. This approach enables comprehensive pattern coverage
when processing large or complex text datasets.

Shirlyn Dong

regextable

Pattern-Based Text Extraction and Standardization with Lookup
Tables

Devin Judge-Lord

members function

A tibble with 9 columns:<dl>
<dt>congress</dt>
<dd>Congress number (numeric)</dd><dt>chamber</dt>
<dd>Chamber (House/President/Senate)</dd><dt>bioname</dt>
<dd>Full bio name of the member</dd><dt>pattern</dt>
<dd>Regex pattern to match this member's name</dd><dt>icpsr</dt>
<dd>Numeric ICPSR identifier</dd><dt>state_abbrev</dt>
<dd>Two-letter state abbreviation</dd><dt>district_code</dt>
<dd>District number (0 for President)</dd><dt>first_name</dt>
<dd>First name of the member</dd><dt>last_name</dt>
<dd>Last name of the member</dd>
</dl>

Format

members dataset — members

A tibble with 9 columns:<dl>
<dt>congress</dt>
<dd>Congress number (numeric)</dd>

<dt>chamber</dt>
<dd>Chamber (House/President/Senate)</dd>

<dt>bioname</dt>
<dd>Full bio name of the member</dd>

<dt>pattern</dt>
<dd>Regex pattern to match this member's name</dd>

<dt>icpsr</dt>
<dd>Numeric ICPSR identifier</dd>

<dt>state_abbrev</dt>
<dd>Two-letter state abbreviation</dd>

<dt>district_code</dt>
<dd>District number (0 for President)</dd>

<dt>first_name</dt>
<dd>First name of the member</dd>

<dt>last_name</dt>
<dd>Last name of the member</dd>


</dl>

members: members dataset

Description

Arguments

Format