Package: quartets
Type: Package
Title: Datasets to Help Teach Statistics
Version: 0.1.3
Authors@R: c(
    person("Lucy", "D'Agostino McGowan", , "lucydagostino@gmail.com", 
    role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6983-2759"))
    )
Description: In the spirit of Anscombe's quartet, this package includes
        datasets that demonstrate the importance of visualizing your
        data, the importance of not relying on statistical summary
        measures alone, and why additional assumptions about the data
        generating mechanism are needed when estimating causal effects.
        The package includes "Anscombe's Quartet" (Anscombe 1973)
        <doi:10.1080/00031305.1973.10478966>, D'Agostino McGowan &
        Barrett (2023) "Causal Quartet"
        <doi:10.1080/26939169.2023.2276446>, "Datasaurus Dozen"
        (Matejka & Fitzmaurice 2017), "Interaction Triptych" (Rohrer &
        Arslan 2021) <doi:10.1177/25152459211007368>, "Rashomon
        Quartet" (Biecek et al. 2023) <doi:10.48550/arXiv.2302.13356>,
        and Gelman "Variation and Heterogeneity Causal Quartets"
        (Gelman et al. 2023) <doi:10.48550/arXiv.2302.12878>.
License: MIT + file LICENSE
URL: https://github.com/r-causal/quartets,
        https://r-causal.github.io/quartets/
BugReports: https://github.com/r-causal/quartets/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
RoxygenNote: 7.2.3
Roxygen: list(markdown = TRUE)
Suggests: knitr, rmarkdown, tidyverse
VignetteBuilder: knitr
Repository: https://r-causal.r-universe.dev
Date/Publication: 2026-03-22 14:51:00 UTC
RemoteUrl: https://github.com/r-causal/quartets
RemoteRef: HEAD
RemoteSha: a6d67ece2483cd6633ced4b5ece0abd74c46d540
NeedsCompilation: no
Packaged: 2026-06-20 07:35:06 UTC; root
Author: Lucy D'Agostino McGowan [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-6983-2759>)
Maintainer: Lucy D'Agostino McGowan <lucydagostino@gmail.com>