SherlockHolmes
1.0.2Building a Concordance of Terms in a Series of Texts
Overview
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.
Install
Health
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 94%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
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Nothing depends on this yet.
Code & Tests
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People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.12023-03-28 · diff ↗
- 1.02023-03-27
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-03-27
- Total releases
- 3 / 3 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.2.0
- Bundled data
- 290 KB / 12 files
- Download size
- 3.7 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet