The s20x package provides teaching-oriented helper functions and datasets for University of Auckland STATS 201 and STATS 208 data analysis courses. The package keeps student-facing defaults stable so existing lecture notes, labs, and examples continue to behave as expected.
Maintainer: James Curran j.curran@auckland.ac.nz (Wrote the original R package. Current maintainer.)
Authors:
Brant Deppa (Wrote the original R scripts this package is derived from)
Other contributors:
Hannah Yun hyun536@aucklanduni.ac.nz [contributor]
Rachel Fewster r.fewster@auckland.ac.nz [contributor]
Russell Millar r.millar@auckland.ac.nz [contributor]
Ben Stevenson ben.stevenson@auckland.ac.nz [contributor]
Andrew Balemi a.balemi@auckland.ac.nz [contributor]
Chris Wild c.wild@auckland.ac.nz [contributor]
Sophie Jones [contributor]
Dineika Chandra [contributor]
Brendan McArdle [contributor]
Selected diagnostic plotting helpers now support optional plotting engines.
The default base graphics engine preserves the original teaching output. Use
engine = "ggplot2" only when a reusable plot object is useful for
saving, arranging, or further customisation. The optional engine requires the
plotting packages documented on the relevant help pages: ggplot2 for
normcheck(), eovcheck(), and modelcheck(), and both
ggplot2 and GGally for pairs20x().
Useful links: