theme_biplot

<p>Omit coordinate visual aids from biplots.</p>

Ordination comprises several multivariate exploratory and
explanatory techniques with theoretical foundations in geometric data
analysis; see Podani (2000, ISBN:90-5782-067-6) for techniques and
applications and Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0> for
foundations.
Greenacre (2010, ISBN:978-84-923846) shows how the most established of
these, including principal components analysis, correspondence analysis,
multidimensional scaling, factor analysis, and discriminant analysis,
rely on eigen-decompositions or singular value decompositions of
pre-processed numeric matrix data.
These decompositions give rise to a set of shared coordinates along which
the row and column elements can be measured. The overlay of their
scatterplots on these axes, introduced by Gabriel (1971)
<doi:10.1093/biomet/58.3.453>, is called a biplot.
'ordr' provides inspection, extraction, manipulation, and visualization
tools for several popular ordination classes supported by a set of recovery
methods. It is inspired by and designed to integrate into 'tidyverse'
workflows provided by Wickham et al (2019) <doi:10.21105/joss.01686>.

theme_biplot: Biplot theme

Description

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