dot-reparameterize: Function to reparameterize two matrices
In linnykos/eSVD2: eSVD2 for performing the eSVD-DE for cohort-wide differential expression analysis
.reparameterize R Documentation
Function to reparameterize two matrices
Description
test
Usage
.reparameterize(x_mat, y_mat, equal_covariance)
Arguments
x_mat
matrix of dimension n by k
y_mat
matrix of dimension p by k
equal_covariance
boolean
Details
Designed to output matrices of the same dimension as x_mat
and y_mat, but linearly transformed so x_mat %*% t(y_mat)
is preserved but either x_mat %*% t(x_mat) is diagonal and equal to
y_mat %*% t(y_mat) (if equal_covariance is FALSE)
or x_mat %*% t(x_mat)/nrow(x_mat) is diagonal and equal to
y_mat %*% t(y_mat)/nrow(y_mat) (if equal_covariance is TRUE)
Value
list of two matrices
linnykos/eSVD2 documentation built on July 17, 2024, 12:01 a.m.
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| .reparameterize | R Documentation |
Function to reparameterize two matrices
Description
test
Usage
.reparameterize(x_mat, y_mat, equal_covariance)
Arguments
x_mat |
matrix of dimension |
y_mat |
matrix of dimension |
equal_covariance |
boolean |
Details
Designed to output matrices of the same dimension as x_mat
and y_mat, but linearly transformed so x_mat %*% t(y_mat)
is preserved but either x_mat %*% t(x_mat) is diagonal and equal to
y_mat %*% t(y_mat) (if equal_covariance is FALSE)
or x_mat %*% t(x_mat)/nrow(x_mat) is diagonal and equal to
y_mat %*% t(y_mat)/nrow(y_mat) (if equal_covariance is TRUE)
Value
list of two matrices
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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