anscombiser: Create Datasets with Identical Summary Statistics
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
<https://cran.r-project.org/package=datasauRus> provides further examples
of datasets that have markedly different scatter plots but share many
sample summary statistics.
||R (≥ 3.3.0)
||datasauRus, datasets, gganimate, ggplot2, maps, testthat, knitr, rmarkdown
||Paul J. Northrop [aut, cre, cph]
||Paul J. Northrop <p.northrop at ucl.ac.uk>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Please use the canonical form
to link to this page.