CRAN/E | anscombiser

anscombiser

Create Datasets with Identical Summary Statistics

Installation

About

Anscombe's quartet are a set of four two-variable datasets that have several common summary statistics but which have very different joint distributions. This becomes apparent when the data are plotted, which illustrates the importance of using graphical displays in Statistics. This package enables the creation of datasets that have identical marginal sample means and sample variances, sample correlation, least squares regression coefficients and coefficient of determination. The user supplies an initial dataset, which is shifted, scaled and rotated in order to achieve target summary statistics. The general shape of the initial dataset is retained. The target statistics can be supplied directly or calculated based on a user-supplied dataset. The 'datasauRus' package provides further examples of datasets that have markedly different scatter plots but share many sample summary statistics.

paulnorthrop.github.io/anscombiser/
github.com/paulnorthrop/anscombiser
Bug report File report

Key Metrics

Version 1.1.0
R ≥ 3.3.0
Published 2022-10-02 543 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks anscombiser results

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Maintainer

Maintainer

Paul J. Northrop

p.northrop@ucl.ac.uk

Authors

Paul J. Northrop

aut / cre / cph

Material

README
NEWS
Reference manual
Package source

Vignettes

An overview of anscombiser

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

anscombiser archive

Depends

R ≥ 3.3.0

Imports

graphics
stats

Suggests

datasauRus
datasets
gganimate
ggplot2
maps
testthat
knitr
rmarkdown