subspaceDistance: Distance Between Linear Spaces
In spatstat.explore: Exploratory Data Analysis for the 'spatstat' Family
subspaceDistance R Documentation
Distance Between Linear Spaces
Description
Evaluate the distance between two linear subspaces
using the measure proposed by Li, Zha and Chiaromonte (2005).
Usage
subspaceDistance(B0, B1)
Arguments
B0
Matrix whose columns are a basis for the first subspace.
B1
Matrix whose columns are a basis for the second subspace.
Details
This algorithm calculates the maximum absolute value of the
eigenvalues of P1-P0 where P0,P1 are the projection
matrices onto the subspaces generated by B0,B1.
This measure of distance was proposed by Li, Zha and Chiaromonte
(2005). See also Xia (2007).
Value
A single numeric value.
Author(s)
Matlab original by Yongtao Guan,
translated to R by Suman Rakshit.
References
Guan, Y. and Wang, H. (2010)
Sufficient dimension reduction for spatial point
processes directed by Gaussian random fields.
Journal of the Royal Statistical Society, Series B,
72, 367–387.
Li, B., Zha, H. and Chiaromonte, F. (2005) Contour regression: a
general approach to dimension reduction.
Annals of Statistics 33, 1580–1616.
Xia, Y. (2007)
A constructive approach to the estimation of dimension reduction
directions.
Annals of Statistics 35, 2654–2690.
spatstat.explore documentation built on Oct. 22, 2024, 9:07 a.m.
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| subspaceDistance | R Documentation |
Distance Between Linear Spaces
Description
Evaluate the distance between two linear subspaces using the measure proposed by Li, Zha and Chiaromonte (2005).
Usage
subspaceDistance(B0, B1)
Arguments
B0 |
Matrix whose columns are a basis for the first subspace. |
B1 |
Matrix whose columns are a basis for the second subspace. |
Details
This algorithm calculates the maximum absolute value of the
eigenvalues of P1-P0 where P0,P1 are the projection
matrices onto the subspaces generated by B0,B1.
This measure of distance was proposed by Li, Zha and Chiaromonte
(2005). See also Xia (2007).
Value
A single numeric value.
Author(s)
Matlab original by Yongtao Guan, translated to R by Suman Rakshit.
References
Guan, Y. and Wang, H. (2010) Sufficient dimension reduction for spatial point processes directed by Gaussian random fields. Journal of the Royal Statistical Society, Series B, 72, 367–387.
Li, B., Zha, H. and Chiaromonte, F. (2005) Contour regression: a general approach to dimension reduction. Annals of Statistics 33, 1580–1616.
Xia, Y. (2007) A constructive approach to the estimation of dimension reduction directions. Annals of Statistics 35, 2654–2690.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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