plot.PCAloc: Plotting method PCAloc object

In ssMRCD: Spatially Smoothed MRCD Estimator

Plotting method PCAloc object

Description

Plotting method PCAloc object

Usage

## S3 method for class 'PCAloc'
plot(
  x,
  type = c("loadings", "screeplot", "scores", "score_distances", "biplot"),
  ...
)

Arguments

x	object of class PCAloc
type	character indicating the type of plot, see details.
...	further arguments passed down.

Value

Returns plots in ggplot2.

Examples

# set seed
set.seed(236)

# create data and setup
data = matrix(rnorm(2000), ncol = 4)
groups = sample(1:10, 500, replace = TRUE)
W = time_weights(N = 10, c(3,2,1))

# calculate covariances
covs = ssMRCD(data, groups = groups, weights = W, lambda = 0.3)

# calculate sparse PCA
pca = sparsePCAloc(eta = 0.3, gamma = 0.7, cor = FALSE, COVS = covs$MRCDcov,
             n_max = 1000, increase_rho = list(TRUE, 50, 1), trace = FALSE)

# align loadings
pca$PC = align_PC(PC = pca$PC, N = pca$N, p = pca$p, type = "mean")

# plot different PCA plots
plot(x = pca, type = "score_distances", groups = groups, X = data, ssMRCD = covs, k = 2)
plot(x = pca, type = "biplot", color = "variable")
plot(x = pca, type = "scores", groups = groups, X = data, ssMRCD = covs, k = 1)
plot(x = pca, type = "screeplot")
plot(x = pca, type = "loadings", k = 1)

ssMRCD documentation built on Sept. 11, 2024, 5:14 p.m.