geigen {fda} | R Documentation |
Generalized eigenanalysis
Description
Find matrices L and M to maximize
tr(L'AM) / sqrt(tr(L'BL) tr(M'CM'))
where A = a p x q matrix, B = p x p symmetric, positive definite matrix, B = q x q symmetric positive definite matrix, L = p x s matrix, and M = q x s matrix, where s = the number of non-zero generalized eigenvalues of A.
Usage
geigen(Amat, Bmat, Cmat)
Arguments
Amat |
a numeric matrix |
Bmat |
a symmetric, positive definite matrix with dimension = number of rows of A |
Cmat |
a symmetric, positive definite matrix with dimension = number of columns of A |
Value
list(values, Lmat, Mmat)
References
Ramsay, James O., Hooker, Giles, and Graves, Spencer (2009), Functional data analysis with R and Matlab, Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2005), Functional Data Analysis, 2nd ed., Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York.
See Also
Examples
A <- matrix(1:6, 2)
B <- matrix(c(2, 1, 1, 2), 2)
C <- diag(1:3)
ABC <- geigen(A, B, C)