gell {gellipsoid} | R Documentation |
(U, D) Representation of an Ellipsoid in R^p.
Description
gell
provides a set of ways to specify a generalized ellipsoid in
R^p
, using the (U, D) representation to include all special cases,
where U is a square orthogonal matrix, and D is diagonal with extended
non-negative real numbers, i.e. 0, Inf or a positive real.
Usage
gell(x, ...)
## Default S3 method:
gell(x, center = 0, Sigma, ip, span, A, u, d = 1, epsfac = 2, ...)
## S3 method for class 'gell'
gell(x, ...)
Arguments
x |
An object |
... |
Other arguments |
center |
A vector specifying the center of the ellipsoid |
Sigma |
A square, symmetric, non-negative definite dispersion (variance) matrix |
ip |
A square, symmetric, non-negative definite inner product matrix. See Details. |
span |
A subspace with a given span. See Details. |
A |
A matrix giving a linear transformation of the unit sphere. |
u |
A U matrix |
d |
Diagonal elements of a D matrix |
epsfac |
Factor of |
Details
The resulting class of ellipsoids includes degenerate ellipsoids that are flat and/or unbounded. Thus ellipsoids are naturally defined to include lines, hyperplanes, points, cylinders, etc.
gell
can currently generate the (U, D) representation from 5 ways of
specifying an ellipsoid:
From the non-negative definite dispersion (variance) matrix,
Sigma: U D^2 U' = Sigma
, where some elements of the diagonal matrix D can be 0. This can only generate bounded ellipsoids, possibly flat.From the non-negative definite inner product matrix
'ip': U W^2 U = C
where some elements of the diagonal matrix W can be 0. Then set D = W^-1 where 0^-1 = Inf. This can only generate fat (non-empty interior) ellipsoids, possibly unbounded.From a subspace spanned by 'span' Let U_1 be an orthonormal basis of Span('span'), let U_2 be an orthonormal basis of the orthogonal complement, the
U = [ U_1 U_2 ]
andD = diag( c(Inf,...,Inf, 0,..,0))
where the number of Inf's is equal to the number of columns of U_1.From a transformation of the unit sphere given by A(Unit sphere) where A = UDV', i.e. the SVD.
(Generalization of 4): A, d where A is any matrix and d is a vector of factors corresponding to columns of A. These factors can be 0, positive or Inf. In this case U and D are such that U D(Unit sphere) = A diag(d)(Unit sphere). This is the only representation that can be used for all forms of ellipsoids and in which any ellipsoid can be represented.
Value
A (U, D) representation of the ellipsoid, with components
center |
center |
u |
Right singular vectors |
d |
Singular values |
Author(s)
Georges Monette
References
Friendly, M., Monette, G. and Fox, J. (2013). Elliptical Insights: Understanding Statistical Methods through Elliptical Geometry. Statistical Science, 28(1), 1-39.
See Also
Examples
gell(Sigma = diag(3)) # the unit sphere
(zplane <- gell(span = diag(3)[,1:2])) # a plane