tdecomp: Root of singularity-corrected eigenvalue decomposition
In fpc: Flexible Procedures for Clustering
tdecomp R Documentation
Root of singularity-corrected eigenvalue decomposition
Description
Computes transposed eigenvectors of matrix m times diagonal of
square root of eigenvalues so that eigenvalues smaller than 1e-6 are
set to 1e-6.
Usage
tdecomp(m)
Arguments
m
a symmetric matrix of minimum format 2*2.
Details
Thought for use in discrcoord only.
Value
a matrix.
Note
Thought for use within discrcoord only.
Author(s)
Christian Hennig
christian.hennig@unibo.it
https://www.unibo.it/sitoweb/christian.hennig/en/
Examples
x <- rnorm(10)
y <- rnorm(10)
z <- cov(cbind(x,y))
round(tdecomp(z),digits=2)
fpc documentation built on Sept. 24, 2024, 9:07 a.m.
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| tdecomp | R Documentation |
Root of singularity-corrected eigenvalue decomposition
Description
Computes transposed eigenvectors of matrix m times diagonal of
square root of eigenvalues so that eigenvalues smaller than 1e-6 are
set to 1e-6.
Usage
tdecomp(m)
Arguments
m |
a symmetric matrix of minimum format 2*2. |
Details
Thought for use in discrcoord only.
Value
a matrix.
Note
Thought for use within discrcoord only.
Author(s)
Christian Hennig christian.hennig@unibo.it https://www.unibo.it/sitoweb/christian.hennig/en/
Examples
x <- rnorm(10)
y <- rnorm(10)
z <- cov(cbind(x,y))
round(tdecomp(z),digits=2)
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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