Package: SherlockHolmes Version: 1.0.2 Date: 2025-11-30 Title: Building a Concordance of Terms in a Series of Texts Authors@R: c( person("Barry", "Zeeberg", email = "barryz2013@gmail.com", role = c("aut", "cre"))) Maintainer: Barry Zeeberg Author: Barry Zeeberg [aut, cre] Depends: R (>= 4.2.0) LazyData: true Imports: qpdf, stringr, dpseg, plotrix, zoo, stargazer, utils, graphics, grDevices, stats, textBoxPlacement, plot.matrix, devtools Description: 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 . License: GPL (>= 2) Encoding: UTF-8 VignetteBuilder: knitr Suggests: knitr, rmarkdown, testthat (>= 3.0.0) RoxygenNote: 7.3.3 Config/testthat/edition: 3 NeedsCompilation: no Packaged: 2026-07-04 05:36:22 UTC; root Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev git make libharfbuzz-dev libgit2-dev libicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev libssl-dev libx11-dev zlib1g-dev Repository: https://barryzee.r-universe.dev Date/Publication: 2025-11-30 18:00:02 UTC RemoteUrl: https://github.com/cran/SherlockHolmes RemoteRef: HEAD RemoteSha: 0b0ba6247bef8ef3de9248e71d1d1b86705a226b