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quartets

0.1.1

Datasets to Help Teach Statistics

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Overview

About
Maintained by Lucy D'Agostino McGowanFirst published 2023-04-122 releasesCRAN page ↗GitHub ↗

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:10.48550/arXiv.2304.02683, "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.

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  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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0 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
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Code & Tests

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Rd 690 (60%)R 452 (40%)

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Release timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.1Latest
    2023-04-14 · current release · diff ↗
  • 0.1.0
    2023-04-12
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-04-12
Total releases
2 / 3 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 2.10
Bundled data
257 KB / 22 files
Download size
2.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet