anscombiser
Title
What does anscombiser do?
Anscombe’s quartet are a set of four two-variable datasets that have
several common summary statistics (essentially means, variances and
correlation) 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. The anscombiser
package provides a quick and easy way to create several datasets that
have common values for Anscombe’s summary statistics but display very
different behaviour when plotted. It does this by transforming
(shifting, scaling and rotating) the dataset to achieve target summary
statistics.
An example
The mimic() function transforms an input dataset (dino below) so
that it has the same values of Anscombe’s summary statistics as another
dataset (trump below).
library(anscombiser)
library(datasauRus)
dino <- datasaurus_dozen_wide[, c("dino_x", "dino_y")]
new_dino <- mimic(dino, trump)
plot(new_dino, legend_args = list(x = "topright"))
plot(new_dino, input = TRUE, legend_args = list(x = "bottomright"), pch = 20)
In this example these images had similar summary statistics from the
outset and therefore the appearance of the dino dataset has changed
little. Otherwise, the first dataset will be deformed but its general
shape will still be recognisable.
Installation
To get the current released version from CRAN:
install.packages("anscombiser")Vignette
See vignette("intro-to-anscombiser", package = "anscombiser") for an
overview of the package.