plot.ADMM: Plot ADMM object

In ADMMsigma: Penalized Precision Matrix Estimation via ADMM

Description

Produces a plot for the cross validation errors, if available.

Usage

## S3 method for class 'ADMM'
plot(x, type = c("line", "heatmap"), footnote = TRUE, ...)

Arguments

x	class object ADMM.
type	produce either 'heatmap' or 'line' graph
footnote	option to print footnote of optimal values. Defaults to TRUE.
...	additional arguments.

Examples

# generate data from a sparse matrix
# first compute covariance matrix
S = matrix(0.7, nrow = 5, ncol = 5)
for (i in 1:5){
 for (j in 1:5){
   S[i, j] = S[i, j]^abs(i - j)
 }
 }

# generate 100 x 5 matrix with rows drawn from iid N_p(0, S)
set.seed(123)
Z = matrix(rnorm(100*5), nrow = 100, ncol = 5)
out = eigen(S, symmetric = TRUE)
S.sqrt = out$vectors %*% diag(out$values^0.5)
S.sqrt = S.sqrt %*% t(out$vectors)
X = Z %*% S.sqrt

# produce line graph for ADMMsigma
plot(ADMMsigma(X), type = 'line')

# produce CV heat map for ADMMsigma
plot(ADMMsigma(X), type = 'heatmap')

ADMMsigma documentation built on May 2, 2019, 6:23 a.m.