rolling

compute rolling average of ratio of number of occurrences of query string divided by total number of words

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

rolling function

<dl><dt>freqs</dt>
<dd>return value of frequency()</dd>
<dt>titles.vec</dt>
<dd>character vector containing the titles of the stories</dd>
<dt>windowPct</dt>
<dd>a numeric control size of plot window</dd>
<dt>odir</dt>
<dd>character string containing the full path name for the output directory</dd>
<dt>verbose</dt>
<dd>Boolean if TRUE print informative or diagnostic messages to console</dd></dl>

Arguments

rolling — rolling

<dl>

<dt>freqs</dt>
<dd>return value of frequency()</dd>


<dt>titles.vec</dt>
<dd>character vector containing the titles of the stories</dd>


<dt>windowPct</dt>
<dd>a numeric control size of plot window</dd>


<dt>odir</dt>
<dd>character string containing the full path name for the output directory</dd>


<dt>verbose</dt>
<dd>Boolean if TRUE print informative or diagnostic messages to console</dd>

</dl>

rolling: rolling

Description

Usage

Value

Arguments

Examples