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quartets
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]
[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. Accessed 21 Dec. 2024.
Previous versions and publish date:
0.1.0 (2023-04-12 14:20)
Other packages that cited quartets R package
View quartets citation profile
Other R packages that quartets depends,
imports, suggests or enhances
Complete documentation for quartets
Functions, R codes and Examples using
the quartets R package
Some associated functions: anscombe_leverage . anscombe_linear . anscombe_nonlinear . anscombe_outlier . anscombe_quartet . causal_collider . causal_collider_time . causal_confounding . causal_m_bias . causal_mediator . causal_quartet . datasaurus_dozen . heterogeneous_causal_quartet . interaction_triptych . rashomon_quartet . variation_causal_quartet .
Some associated R codes: anscombe_leverage.R . anscombe_linear.R . anscombe_nonlinear.R . anscombe_outlier.R . anscombe_quartet.R . causal_collider.R . causal_confounding.R . causal_m_bias.R . causal_mediator.R . causal_quartet.R . causal_quartet_time.R . datasaurus_dozen.R . heterogeneous_causal_quartet.R . interaction_triptych.R . rashomon-quartet.R . variation_causal_quartet.R . Full quartets package functions and examples
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