RV2Mat: RV2Mat Compute the RV coefficient between two matrices with...
In HerveAbdi/PTCA4CATA: Partial Triadic Analysis (PTCA) for Check All That Apply (CATA) Data
View source: R/BlockProjections.R
RV2Mat R Documentation
RV2Mat
Compute the RV coefficient between two matrices
with the same number of rows.
Description
RV2Mat
Compute the RV coefficient between two matrices
with the same number of rows.
RV2Mat
first computes the cross-product matrix.
With X and Y matrices, RV is equal to
<XX',YY'> /sqrt(<XX'*XX'>*<YY'*YY'>),
with <> being the scalar product.
RV works like a squared correlation coefficient.
Usage
RV2Mat(m1, m2)
Arguments
m1
an I*J matrix
m2
an I*K matrix
Value
rv The RV coefficient
Author(s)
Herve Abdi
HerveAbdi/PTCA4CATA documentation built on July 17, 2022, 5:41 a.m.
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View source: R/BlockProjections.R
| RV2Mat | R Documentation |
RV2Mat Compute the RV coefficient between two matrices with the same number of rows.
Description
RV2Mat
Compute the RV coefficient between two matrices
with the same number of rows.
RV2Mat
first computes the cross-product matrix.
With X and Y matrices, RV is equal to
<XX',YY'> /sqrt(<XX'*XX'>*<YY'*YY'>),
with <> being the scalar product.
RV works like a squared correlation coefficient.
Usage
RV2Mat(m1, m2)
Arguments
m1 |
an I*J matrix |
m2 |
an I*K matrix |
Value
rv The RV coefficient
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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