plot.spatmca: Display the cross-validation results

In SpatMCA: Regularized Spatial Maximum Covariance Analysis

Display the cross-validation results

Description

Display the M-fold cross-validation results

Usage

## S3 method for class 'spatmca'
plot(x, ...)

Arguments

x	An spatmca class object for plot method
...	Not used directly

Value

NULL

See Also

spatmca

Examples

p <- q <- 5
n <- 50
x1 <- matrix(seq(-7, 7, length = p), nrow = p, ncol = 1)
x2 <- matrix(seq(-7, 7, length = q), nrow = q, ncol = 1)
u <- exp(-x1^2) / norm(exp(-x1^2), "F")
v <- exp(-(x2 - 2)^2) / norm(exp(-(x2 - 2)^2), "F")
Sigma <- array(0, c(p + q, p + q))
Sigma[1:p, 1:p] <- diag(p)
Sigma[(p + 1):(p + q), (p + 1):(p + q)] <- diag(p)
Sigma[1:p, (p + 1):(p + q)] <- u %*% t(v)
Sigma[(p + 1):(p + q), 1:p] <- t(Sigma[1:p, (p + 1):(p + q)])
noise <- MASS::mvrnorm(n, mu = rep(0, p + q), Sigma = 0.001 * diag(p + q))
Y <- MASS::mvrnorm(n, mu = rep(0, p + q), Sigma = Sigma) + noise
Y1 <- Y[, 1:p]
Y2 <- Y[, -(1:p)]
cv_1D <- spatmca(x1, x2, Y1, Y2, num_cores = 2)
plot(cv_1D)

SpatMCA documentation built on Nov. 21, 2023, 5:07 p.m.