anscombiser-package {anscombiser}R Documentation

anscombiser: Create Datasets with Identical Summary Statistics


Anscombe's quartet (Anscombe, 1973) 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 main functions in anscombiser are

See vignette("intro-to-anscombiser", package = "anscombiser") for an overview of the package.


Maintainer: Paul J. Northrop [copyright holder]


Anscombe, F. J. (1973). Graphs in Statistical Analysis. The American Statistician 27 (1): 17–21. doi:10.1080/00031305.1973.10478966

See Also

anscombise and mimic

[Package anscombiser version 1.1.0 Index]