biVarimax | R Documentation |
rotate a matrix pair (U, V) to have clear structures. Extended from varimax of a single matrix.
biVarimax(U, V, lambda = 1, normalize = TRUE, eps = 1e-05)
lambda |
hyper-parameter of balancing U and V: obj(U, V) = lambda * obj_varimax(U) + obj_varimax(V). As lambda increases, more emphasis is put on U. Default is 1. |
normalize |
logical; if true, the rows of U, V are re-scaled to unit length before rotation, and scaled back afterwards. Default is TRUE. |
eps |
the tolerance for stopping: the relative change in the sum of singular values. Default is 1e-5. |
V: |
phenotype - mediator matrix; each row represents a phenotype, each column represents a mediator. The number of mediators should be no larger than that of phenotypes. |
U: |
genotype - mediator matrix estimator; each row represents a genotype, each column represents a mediator. The number of mediators should be no larger than that of genotypes. |
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