View source: R/sparsePCAloc_methods.R
biplot.PCAloc | R Documentation |
Biplot for PCAloc
## S3 method for class 'PCAloc'
biplot(x, ...)
x |
object of class PCAloc. |
... |
other input arguments, see details. |
Additional parameters that can be given to the function are:
shape | point shape |
size | point size |
alpha | transparency |
color | either "variable" or "groups"
indication how points should be coloured. |
Returns version of biplot for PCAloc object.
# set seed
set.seed(236)
# make data
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 biplot
biplot(pca, alpha = 0.4, shape = 16, size = 2, color = "variable")
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