{ "_id": "6a1ada7d1d7bb097a09e8191", "Package": "SherlockHolmes", "Version": "1.0.2", "Date": "2025-11-30", "Title": "Building a Concordance of Terms in a Series of Texts", "Authors@R": "c(\nperson(\"Barry\", \"Zeeberg\", email = \"barryz2013@gmail.com\",\nrole = c(\"aut\", \"cre\")))", "Maintainer": "Barry Zeeberg ", "Author": "Barry Zeeberg [aut, cre]", "LazyData": "true", "Description": "Compute the frequency distribution of a search term in a\nseries of texts. For example, Arthur Conan Doyle wrote a total\nof 60 Sherlock Holmes stories, comprised of 54 short stories\nand 4 longer novels. I wanted to test my own subjective\nimpression that, in many of the stories, Sherlock Holmes'\npopularity was used as bait to induce the reader to read a\nstory that is essentially not primarily a Sherlock Holmes\nstory. I used the term \"Holmes\" as a search pattern, since\nWatson would frequently address him by name, or use his name to\ndescribe something that he was doing. My hypothesis is that the\nfrequency distribution of the search pattern \"Holmes\" is a good\nproxy for the degree to which a story is or is not truly a\nSherlock Holmes story. The results are presented in a\nmanuscript that is available as a vignette and online at\n.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-30 09:13:04 UTC", "User": "root" }, "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev\nlibfribidi-dev git make libharfbuzz-dev libgit2-dev libicu-dev\nlibjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev\nlibxml2-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", "MD5sum": "f89a7212b1a9652d62eb1121cec941a0", "_user": "barryzee", "_type": "src", "_file": "SherlockHolmes_1.0.2.tar.gz", "_fileid": "3113da7c59fbf104d233dc4d2dafd6d9cf8f9e83bdcf01d16fb5db42e906b7ce", "_filesize": 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