gnu: Add r-datasaurus.
* gnu/packages/statistics.scm (r-datasaurus): New variable.
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;;; Copyright © 2018 Alex Branham <alex.branham@gmail.com>
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;;; Copyright © 2020 Tim Howes <timhowes@lavabit.com>
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;;; Copyright © 2021 Bonface Munyoki Kilyungi <me@bonfacemunyoki.com>
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;;; Copyright © 2021 Lars-Dominik Braun <lars@6xq.net>
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;;;
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;;; This file is part of GNU Guix.
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;;;
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@ -6310,3 +6311,35 @@ the machinery described in the paper \"Learning interactions via hierarchical
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group-lasso regularization\" (JCGS 2015, Volume 24, Issue 3).
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Michael Lim & Trevor Hastie (2015)")
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(license license:gpl2)))
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(define-public r-datasaurus
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(package
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(name "r-datasaurus")
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(version "0.1.4")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "datasauRus" version))
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(sha256
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(base32
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"1w1yhwwrmh95bklacz44wjwynxd8cj3z8b9zvsnzmk18m5a4k0fl"))))
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(properties `((upstream-name . "datasauRus")))
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(build-system r-build-system)
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(native-inputs `(("r-knitr" ,r-knitr)))
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(home-page
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"https://github.com/lockedata/datasauRus")
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(synopsis "Datasets from the Datasaurus Dozen")
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(description
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"The Datasaurus Dozen is a set of datasets with the same summary
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statistics. They retain the same summary statistics despite having radically
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different distributions. The datasets represent a larger and quirkier object
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lesson that is typically taught via Anscombe's Quartet (available in the
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'datasets' package). Anscombe's Quartet contains four very different
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distributions with the same summary statistics and as such highlights the value
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of visualisation in understanding data, over and above summary statistics. As
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well as being an engaging variant on the Quartet, the data is generated in a
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novel way. The simulated annealing process used to derive datasets from the
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original Datasaurus is detailed in \"Same Stats, Different Graphs: Generating
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Datasets with Varied Appearance and Identical Statistics through Simulated
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Annealing\" @url{doi:10.1145/3025453.3025912}.")
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(license license:expat)))
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