plot_loadings: Plots of loadings of PCAloc object

In ssMRCD: Spatially Smoothed MRCD Estimator

Plots of loadings of PCAloc object

Description

Plots of loadings of PCAloc object

Usage

plot_loadings(object, ...)

Arguments

object	object of class PCAloc
...	other input arguments, see details.

Details

Additional parameters that can be given to the function are:

text	logical if values should be added as text.
size	point size.
tolerance	tolerance for rounding to zero.
k	integer, which component scores should be plotted.
groupnames	names of groups.
varnames	names of variables.
textrotate	angle of text rotation, if included.

Value

Returns loading heatmap for component k.

Examples

# set seed
set.seed(236)

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

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

# 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)

# plot score distances
plot_loadings(object = pca,
            k = 1,
            size = 2)

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