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quartets  

Datasets to Help Teach Statistics
View on CRAN: Click here


Download and install quartets package within the R console
Install from CRAN:
install.packages("quartets")

Install from Github:
library("remotes")
install_github("cran/quartets")

Install by package version:
library("remotes")
install_version("quartets", "0.1.1")



Attach the package and use:
library("quartets")
Maintained by
Lucy D'Agostino McGowan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-12
Latest Update: 2023-04-13
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) , D'Agostino McGowan & Barrett (2023) "Causal Quartet" , "Datasaurus Dozen" (Matejka & Fitzmaurice 2017), "Interaction Triptych" (Rohrer & Arslan 2021) , "Rashomon Quartet" (Biecek et al. 2023) , and Gelman "Variation and Heterogeneity Causal Quartets" (Gelman et al. 2023) .
How to cite:
Lucy D'Agostino McGowan (2023). quartets: Datasets to Help Teach Statistics. R package version 0.1.1, https://cran.r-project.org/web/packages/quartets
Previous versions and publish date:
0.1.0 (2023-04-12 14:20)
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