pairwise_correlation: Pairwise correlation
In msPCA: Sparse Principal Component Analysis with Multiple Principal Components
pairwise_correlation R Documentation
Pairwise correlation
Description
Computes the pairwise correlations between PCs defined as u_{t}^\top C u_{s}.
Usage
pairwise_correlation(C, U)
Arguments
C
A matrix. The correlation or covariance matrix (p x p).
U
A matrix. Each column correspond to an p-dimensional PC.
Value
A float matrix (r x r).
Examples
library(datasets)
TestMat <- cor(datasets::mtcars)
mspcares <- mspca(TestMat, 2, c(4,4))
pairwise_correlation(TestMat, mspcares$x_best)
msPCA documentation built on May 16, 2026, 1:08 a.m.
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| pairwise_correlation | R Documentation |
Pairwise correlation
Description
Computes the pairwise correlations between PCs defined as u_{t}^\top C u_{s}.
Usage
pairwise_correlation(C, U)
Arguments
C |
A matrix. The correlation or covariance matrix (p x p). |
U |
A matrix. Each column correspond to an p-dimensional PC. |
Value
A float matrix (r x r).
Examples
library(datasets)
TestMat <- cor(datasets::mtcars)
mspcares <- mspca(TestMat, 2, c(4,4))
pairwise_correlation(TestMat, mspcares$x_best)
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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