print.eigcv: Print cross-validated eigenvalues

In gdim: Estimate Graph Dimension using Cross-Validated Eigenvalues

Print cross-validated eigenvalues

Description

Print cross-validated eigenvalues

Usage

## S3 method for class 'eigcv'
print(x, ...)

Arguments

x	An eigcv object created by a call to eigcv().
...	Ignored.

Value

x, but invisibly.

Examples

library(fastRG)

set.seed(27)

B <- matrix(0.1, 5, 5)
diag(B) <- 0.3

model <- sbm(
  n = 1000,
  k = 5,
  B = B,
  expected_degree = 40,
  poisson_edges = FALSE,
  allow_self_loops = FALSE
)

A <- sample_sparse(model)

eigs<- eigcv(A, k_max = 10)
eigs

plot(eigs, type = "z-score")    # default
plot(eigs, type = "adjacency")
plot(eigs, type = "laplacian")

gdim documentation built on Sept. 8, 2023, 5:56 p.m.