ordr0.1.1 package

A 'tidyverse' Extension for Ordinations and Biplots

annotation

Annotate factors of 'tbl_ord' objects

augmentation

Augment factors and coordinates of 'tbl_ord' objects

biplot-geoms

Convenience geoms for row and column matrix factors

biplot-stats

Convenience stats for row and column matrix factors

conference

Confer inertia to factors of a 'tbl_ord' object

dplyr-verbs

dplyr verbs for tbl_ord factors

draw-key

Biplot key drawing functions

format

Format a tbl_ord for printing

geom_axis

Axes through the origin

geom_isoline

Isolines (contour lines)

geom_lineranges

Intervals depicting ranges, usually about center points

geom_origin

Crosshairs or circle at the origin

geom_text_radiate

Text radiating outward from the origin

geom_unit_circle

Unit circle

geom_vector

Vectors from the origin

ggbiplot

Biplots following the grammar of graphics

lda-ord

Augmented implementation of linear discriminant analysis

lra-ord

Log-ratio analysis

methods-cancor

Functionality for canonical correlations

methods-cmds

Functionality for classical multidimensional scaling objects

methods-correspondence

Functionality for correspondence analysis ('correspondence') objects

methods-eigen

Functionality for eigen-decompositions

methods-factanal

Functionality for factor analysis ('factanal') objects

methods-kmeans

Functionality for k-means clustering ('kmeans') objects

methods-lda

Functionality for linear discriminant analysis ('lda') objects

methods-lm

Functionality for linear model objects

methods-lra

Functionality for log-ratio analysis ('lra') objects

methods-mca

Functionality for multiple correspondence analysis ('mca') objects

methods-prcomp

Functionality for principal components analysis ('prcomp') objects

methods-princomp

Functionality for principal components analysis ('princomp') objects

methods-svd

Functionality for singular value decompositions

negation

Negation of ordination axes

ordinate

Fit an ordination model to a data object

ordr-ggproto

ggproto classes created and adapted for ordr

ordr

ordr package

plot.tbl_ord

Plot and biplot methods for 'tbl_ord' objects

recoverers

Access factors, coordinates, and metadata from ordination objects

reexports

Objects exported from other packages

stat_center

Compute geometric centers and spreads for ordination factors

stat_chull

Restrict geometric data to boundary points for its convex hull

stat_cone

Restrict geometric data to boundary points for its conical hull

stat_rows

Render plot elements for one matrix of an ordination

stat_scale

Multiply artificial coordinates by a scale factor

stat_spantree

Calculate a minimum spanning tree among cases or variables

supplementation

Supplement 'tbl_ord' objects with new data

tbl_ord

A unified ordination object class

theme_biplot

Biplot theme

tidiers

Tidiers for 'tbl_ord' objects

wrap-ord

Wrappers for lossy ordination methods

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>.

  • Maintainer: Jason Cory Brunson
  • License: GPL-3
  • Last published: 2022-10-20