O2P: Function to Compute an Orthogonal Projection Matrix Based on...
In LDRTools: Tools for Linear Dimension Reduction
O2P R Documentation
Function to Compute an Orthogonal Projection Matrix Based on a Matrix with Orthonormal Columns
Description
Function to compute an orthogonal projection matrix based on a matrix with orthonormal columns.
Usage
O2P(x)
Arguments
x
a matrix with k orthonormal columns of length p.
Details
The orthogonal projection matrix P corresponding to matrix x is defined as P=xx^{T}.
Value
The resulting orthogonal projection matrix.
Author(s)
Klaus Nordhausen
See Also
B2P
Examples
X <- tcrossprod(matrix(rnorm(100),ncol=10))
# Orthogonal projector based on the first three eigenvectors of X
P <- O2P(eigen(X)$vectors[,1:3])
LDRTools documentation built on Sept. 18, 2023, 1:06 a.m.
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| O2P | R Documentation |
Function to Compute an Orthogonal Projection Matrix Based on a Matrix with Orthonormal Columns
Description
Function to compute an orthogonal projection matrix based on a matrix with orthonormal columns.
Usage
O2P(x)
Arguments
x |
a matrix with k orthonormal columns of length p. |
Details
The orthogonal projection matrix P corresponding to matrix x is defined as P=xx^{T}.
Value
The resulting orthogonal projection matrix.
Author(s)
Klaus Nordhausen
See Also
B2P
Examples
X <- tcrossprod(matrix(rnorm(100),ncol=10))
# Orthogonal projector based on the first three eigenvectors of X
P <- O2P(eigen(X)$vectors[,1:3])
R Package Documentation
Browse R Packages
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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