startLine

Compute the frequency distribution of a search term in a series of texts. For example, Arthur Conan Doyle wrote a total of 60 Sherlock Holmes stories, comprised of 54 short stories and 4 longer novels. I wanted to test my own subjective impression that, in many of the stories, Sherlock Holmes' popularity was used as bait to induce the reader to read a story that is essentially not primarily a Sherlock Holmes story. I used the term "Holmes" as a search pattern, since Watson would frequently address him by name, or use his name to describe something that he was doing. My hypothesis is that the frequency distribution of the search pattern "Holmes" is a good proxy for the degree to which a story is or is not truly a Sherlock Holmes story. The results are presented in a manuscript that is available as a vignette and online at <https://barryzee.github.io/Concordance/index.html>.

Barry Zeeberg

SherlockHolmes

Building a Concordance of Terms in a Series of Texts

startLine function

<dl><dt>titles.vec</dt>
<dd>is a character string containing the full path name for a text file containing the titles of the stories in the same order that they appear in the texts file</dd>
<dt>texts.vec</dt>
<dd>is a character string containing the full path name for a text file containing the full texts of all of the stories</dd>
<dt>toupper</dt>
<dd>is a Boolean TRUE if the titles should be converted to upper case</dd></dl>

Arguments

startLine — startLine

<dl>

<dt>titles.vec</dt>
<dd>is a character string containing the full path name for a text file containing the titles of the stories in the same order that they appear in the texts file</dd>


<dt>texts.vec</dt>
<dd>is a character string containing the full path name for a text file containing the full texts of all of the stories</dd>


<dt>toupper</dt>
<dd>is a Boolean TRUE if the titles should be converted to upper case</dd>

</dl>

startLine: startLine

Description

Usage

Value

Arguments

Details

Examples