Package: quartets 0.1.3

Lucy DAgostino McGowan

quartets: Datasets to Help Teach Statistics

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>.

Authors:Lucy D'Agostino McGowan [aut, cre]

quartets_0.1.3.tar.gz
quartets_0.1.3.zip(r-4.7)quartets_0.1.3.zip(r-4.6)quartets_0.1.3.zip(r-4.5)
quartets_0.1.3.tgz(r-4.6-any)quartets_0.1.3.tgz(r-4.5-any)
quartets_0.1.3.tar.gz(r-4.7-any)quartets_0.1.3.tar.gz(r-4.6-any)
quartets_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
quartets/json (API)
NEWS

# Install 'quartets' in R:
install.packages('quartets', repos = c('https://r-causal.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/r-causal/quartets/issues

Pkgdown/docs site:https://r-causal.github.io

Datasets:

On CRAN:

Conda:

6.04 score 47 stars 47 scripts 486 downloads 0 exports 0 dependencies

Last updated from:a6d67ece24. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK117
source / vignettesOK182
linux-release-x86_64OK110
macos-release-arm64OK87
macos-oldrel-arm64OK84
windows-develOK98
windows-releaseOK71
windows-oldrelOK73
wasm-releaseOK114

Exports:

Dependencies:

A collider example in a medical context

Rendered froma-collider-example-in-a-medical-context.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2023-07-15
Started: 2023-07-14

Readme and manuals

Help Manual

Help pageTopics
Anscombe's Quartet High Leverage Dataanscombe_leverage
Anscombe's Quartet Linear Dataanscombe_linear
Anscombe's Quartet Nonlinear Dataanscombe_nonlinear
Anscombe's Quartet Outlier Dataanscombe_outlier
Anscombe's Quartet Dataanscombe_quartet
Collider Datacausal_collider
Time-varying Causal Quartet Datacausal_collider_time causal_confounding_time causal_mediator_time causal_m_bias_time causal_quartet_time
Confounder Datacausal_confounding
M-Bias Datacausal_m_bias
Mediator Datacausal_mediator
Causal Quartet Datacausal_quartet
Datasaurus Dozen Datadatasaurus_dozen
Gelman Heterogeneity Causal Quartet Dataheterogeneous_causal_quartet
Interaction Triptych Datainteraction_triptych
Rashomon Quartet Datarashomon_quartet rashomon_quartet_test rashomon_quartet_train
Gelman Variation Causal Quartet Datavariation_causal_quartet