reexports

%&gt;%

tidy

glance

geom_text_repel

geom_label_repel

geom_axis

geom_pointranges

geom_lineranges

geom_isoline

geom_text_radiate

geom_vector

geom_bagplot

geom_rule

position_nudge_repel

minpp

maxpp

minabspp

stat_center

stat_star

stat_chull

stat_peel

stat_cone

stat_depth

stat_depth_filled

stat_scale

stat_spantree

stat_bagplot

stat_rule

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>generics</dt>
<dd><code><a href="https://generics.r-lib.org/reference/glance.html">glance</a></code>, <code><a href="https://generics.r-lib.org/reference/tidy.html">tidy</a></code></dd>
 <dt>gggda</dt>
<dd><code>geom_axis</code>, <code>geom_bagplot</code>, <code>geom_isoline</code>, <code>geom_lineranges</code>, <code>geom_pointranges</code>, <code>geom_rule</code>, <code>geom_text_radiate</code>, <code>geom_vector</code>, <code>maxpp</code>, <code>minabspp</code>, <code>minpp</code>, <code>stat_bagplot</code>, <code>stat_center</code>, <code>stat_chull</code>, <code>stat_cone</code>, <code>stat_depth</code>, <code>stat_depth_filled</code>, <code>stat_peel</code>, <code>stat_rule</code>, <code>stat_scale</code>, <code>stat_spantree</code>, <code>stat_star</code></dd>
 <dt>ggrepel</dt>
<dd><code>geom_label_repel</code>, <code>geom_text_repel</code>, <code>position_nudge_repel</code></dd>
 <dt>magrittr</dt>
<dd><code>%&gt;%</code></dd>
</dl>

internal

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>.

Jason Cory Brunson

ordr

A 'Tidyverse' Extension for Ordinations and Biplots

Emily Paul

John Gracey

reexports function

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>generics</dt>
<dd><code><a href='https://generics.r-lib.org/reference/glance.html'>glance</a></code>, <code><a href='https://generics.r-lib.org/reference/tidy.html'>tidy</a></code></dd>


 <dt>gggda</dt>
<dd><code>geom_axis</code>, <code>geom_bagplot</code>, <code>geom_isoline</code>, <code>geom_lineranges</code>, <code>geom_pointranges</code>, <code>geom_rule</code>, <code>geom_text_radiate</code>, <code>geom_vector</code>, <code>maxpp</code>, <code>minabspp</code>, <code>minpp</code>, <code>stat_bagplot</code>, <code>stat_center</code>, <code>stat_chull</code>, <code>stat_cone</code>, <code>stat_depth</code>, <code>stat_depth_filled</code>, <code>stat_peel</code>, <code>stat_rule</code>, <code>stat_scale</code>, <code>stat_spantree</code>, <code>stat_star</code></dd>


 <dt>ggrepel</dt>
<dd><code>geom_label_repel</code>, <code>geom_text_repel</code>, <code>position_nudge_repel</code></dd>


 <dt>magrittr</dt>
<dd><code>%&gt;%</code></dd>


</dl>

Objects exported from other packages — reexports

Objects exported from other packages

reexports: Objects exported from other packages

Description

Arguments