The gellipsoid package extends the class of geometric ellipsoids to “generalized ellipsoids”, which allow degenerate ellipsoids that are flat and/or unbounded. Thus, ellipsoids can be naturally defined to include lines, hyperplanes, points, cylinders, etc. The methods can be used to represent generalized ellipsoids in a -dimensional space , with plots in up to 3D.
The goal is to be able to think about, visualize, and compute a linear transformation of an ellipsoid with central matrix or its inverse which apply equally to unbounded and/or degenerate ellipsoids. This permits exploration of a variety to statistical issues that can be visualized using ellipsoids as discussed by Friendly, Fox & Monette (2013), Elliptical Insights: Understanding Statistical Methods Through Elliptical Geometry doi:10.1214/12-STS402.
The implementation uses a representation, based on the singular value decomposition (SVD) of an ellipsoid-generating matrix, , where is square orthogonal and is diagonal.
For the usual, “proper” ellipsoids, is positive-definite so all elements of are positive. In generalized ellipsoids, is extended to non-negative real numbers, i.e. its elements can be 0, Inf or a positive real.
A proper ellipsoid in can be defined by where is a non-negative definite central matrix, In applications, is typically a variance-covariance matrix A proper ellipsoid is bounded, with a non-empty interior. We call these fat ellipsoids.
A degenerate flat ellipsoid corresponds to one where the central matrix is singular or when there are one or more zero singular values in . In 3D, a generalized ellipsoid that is flat in one dimension () collapses to an ellipse; one that is flat in two dimensions () collapses to a line, and one that is flat in three dimensions collapses to a point.
An unbounded ellipsoid is one that has infinite extent in one or more directions, and is characterized by infinite singular values in . For example, in 3D, an unbounded ellipsoid with one infinite singular value is an infinite cylinder of elliptical cross-section.
gell()
Constructs a generalized ellipsoid using the
representation. The
inputs can be specified in a variety of ways:
dual()
calculates the dual or inverse of a
generalized ellipsoid
gmult()
calculates a linear transformation of a
generalized ellipsoid
signature()
calculates the signature of a
generalized ellipsoid, a vector of length 3 giving the number of
positive, zero and infinite singular values in the (U, D)
representation.
ell3d()
Plots generalized ellipsoids in 3D using the
rgl
package
You can install the development version of gellipsoid from GitHub with:
# install.packages("devtools")
::install_github("friendly/gellipsoid") devtools
The following examples illustrate gell
objects and their
properties. Each of these may be plotted in 3D using
ell3d()
. These objects can be specified in a variety of
ways, but for these examples the span is simplest.
A unit sphere in has a central matrix of the identity matrix.
library(gellipsoid)
<- gell(Sigma = diag(3))) # a unit sphere in R^3
(zsph #> $center
#> [1] 0 0 0
#>
#> $u
#> [,1] [,2] [,3]
#> [1,] 0 0 1
#> [2,] 0 1 0
#> [3,] 1 0 0
#>
#> $d
#> [1] 1 1 1
#>
#> attr(,"class")
#> [1] "gell"
signature(zsph)
#> pos zero inf
#> 3 0 0
isBounded(zsph)
#> [1] TRUE
isFlat(zsph)
#> [1] FALSE
A plane in is flat in one dimension.
<- gell(span = diag(3)[, 1:2])) # a plane
(zplane #> $center
#> [1] 0 0 0
#>
#> $u
#> [,1] [,2] [,3]
#> [1,] 1 0 0
#> [2,] 0 1 0
#> [3,] 0 0 1
#>
#> $d
#> [1] Inf Inf 0
#>
#> attr(,"class")
#> [1] "gell"
signature(zplane)
#> pos zero inf
#> 0 1 2
isBounded(zplane)
#> [1] FALSE
isFlat(zplane)
#> [1] TRUE
dual(zplane) # line orthogonal to that plane
#> $center
#> [1] 0 0 0
#>
#> $u
#> [,1] [,2] [,3]
#> [1,] 0 0 1
#> [2,] 0 1 0
#> [3,] 1 0 0
#>
#> $d
#> [1] Inf 0 0
#>
#> attr(,"class")
#> [1] "gell"
signature(dual(zplane))
#> pos zero inf
#> 0 2 1
A hyperplane. Note that the gell
object with a center
contains more information than the geometric plane.
<- gell(center = c(0, 0, 2),
(zhplane span = diag(3)[, 1:2])) # a hyperplane
#> $center
#> [1] 0 0 2
#>
#> $u
#> [,1] [,2] [,3]
#> [1,] 1 0 0
#> [2,] 0 1 0
#> [3,] 0 0 1
#>
#> $d
#> [1] Inf Inf 0
#>
#> attr(,"class")
#> [1] "gell"
signature(zhplane)
#> pos zero inf
#> 0 1 2
dual(zhplane) # orthogonal line through same center
#> $center
#> [1] 0 0 2
#>
#> $u
#> [,1] [,2] [,3]
#> [1,] 0 0 1
#> [2,] 0 1 0
#> [3,] 1 0 0
#>
#> $d
#> [1] Inf 0 0
#>
#> attr(,"class")
#> [1] "gell"
A point:
<- gell(span = cbind(c(0, 0, 0)))
zorigin signature(zorigin)
#> pos zero inf
#> 0 3 0
# what is the dual (inverse) of a point?
dual(zorigin)
#> $center
#> [1] 0 0 0
#>
#> $u
#> [,1] [,2] [,3]
#> [1,] 0 0 1
#> [2,] 0 1 0
#> [3,] 1 0 0
#>
#> $d
#> [1] Inf Inf Inf
#>
#> attr(,"class")
#> [1] "gell"
signature(dual(zorigin))
#> pos zero inf
#> 0 0 3
The following figure shows views of two generalized ellipsoids. (blue) determines a proper, fat ellipsoid; it’s inverse also generates a proper ellipsoid. (red) determines an improper, flat ellipsoid, whose inverse is an unbounded cylinder of elliptical cross-section. is the projection of onto the plane where . The scale of these ellipsoids is defined by the gray unit sphere.
This figure illustrates the orthogonality of each and its dual, .
Friendly, M., Monette, G. and Fox, J. (2013). Elliptical Insights: Understanding Statistical Methods through Elliptical Geometry. Online paper
Friendly, M. (2013). Supplementary materials for “Elliptical Insights …”, https://www.datavis.ca/papers/ellipses/