valueprhr (version 0.1.0)

extract_cca_loadings: Extract Top CCA Loadings

Description

Extracts the variables with highest absolute loadings for each CCA component.

Usage

extract_cca_loadings(
  cca_result,
  n_top = 5L,
  which_matrix = c("both", "X", "Y")
)

Value

Data frame with top loadings.

Arguments

cca_result

Result from run_sparse_cca.

n_top

Number of top variables to show. Default 5.

which_matrix

Character. "X", "Y", or "both". Default "both".

Examples

set.seed(123)
n <- 50
p <- 20
X <- matrix(rnorm(n * p), n, p)
Y <- X %*% matrix(rnorm(p * 5), p, 5) + matrix(rnorm(n * 5, 0, 0.5), n, 5)
colnames(X) <- paste0("X", 1:p)
colnames(Y) <- paste0("Y", 1:5)

cca_res <- run_sparse_cca(X, Y, n_components = 2)
top_loads <- extract_cca_loadings(cca_res)
print(top_loads)