eig4CA: 'eig4CA' computes the eigenvalues for correspondence analysis...
In HerveAbdi/PTCA4CATA: Partial Triadic Analysis (PTCA) for Check All That Apply (CATA) Data
eig4CA R Documentation
eig4CA computes the eigenvalues for
correspondence analysis (CA)
Description
eig4CA computes the eigenvalues for
correspondence analysis (CA). Needs a matrix
of non-negative numbers. The trivial eigenvalue
equals to 1, is not computed.
NB for computational efficiency,
the matrix diagonalized is NOT the
matrix diagonalized in CA but it has the
same eigenvalues.
NB: rows and columns with 0 sums have an inverse set to 0
to avoid infinities.
Usage
eig4CA(X)
Arguments
X
a matrix of non-negative numbers
Author(s)
Herve Abdi
HerveAbdi/PTCA4CATA documentation built on July 17, 2022, 5:41 a.m.
R Package Documentation
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| eig4CA | R Documentation |
eig4CA computes the eigenvalues for
correspondence analysis (CA)
Description
eig4CA computes the eigenvalues for
correspondence analysis (CA). Needs a matrix
of non-negative numbers. The trivial eigenvalue
equals to 1, is not computed.
NB for computational efficiency,
the matrix diagonalized is NOT the
matrix diagonalized in CA but it has the
same eigenvalues.
NB: rows and columns with 0 sums have an inverse set to 0
to avoid infinities.
Usage
eig4CA(X)
Arguments
X |
a matrix of non-negative numbers |
Author(s)
Herve Abdi
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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