CRAN/E | SherlockHolmes

SherlockHolmes

Building a Concordance of Terms in a Series of Texts

Installation

About

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 .

Key Metrics

Version 1.0.1
R ≥ 4.2.0
Published 2023-03-28 406 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks SherlockHolmes results

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Maintainer

Maintainer

Barry Zeeberg

barryz2013@gmail.com

Authors

Barry Zeeberg

aut / cre

Material

Reference manual
Package source

Vignettes

SherlockHolmes Part I
SherlockHolmes Part II

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Old Sources

SherlockHolmes archive

Depends

R ≥ 4.2.0

Imports

qpdf
stringr
dpseg
tableHTML
plotrix
zoo
stargazer
utils
graphics
grDevices
stats
textBoxPlacement
plot.matrix
devtools

Suggests

knitr
rmarkdown
testthat ≥ 3.0.0