Covariance Matrices for hyperSpec Objects

Covariance Matrices for hyperSpec Objects

# S4 method for hyperSpec,missing
cov(
  x,
  y = NULL,
  use = "everything",
  method = c("pearson", "kendall", "spearman")
)

pooled.cov(x, groups, ..., regularize = 1e-05 * max(abs(COV)))

Arguments

x	hyperSpec object
y	not supported
use, method	handed to stats::cov()
groups	factor indicating the groups
...	ignored
regularize	regularization of the covariance matrix. Set 0 to switch off pooled.cov calculates pooled covariance like e.g. in LDA.

Value

covariance matrix of size nwl (x) x nwl (x)

See also

stats::cov()

Author

C. Beleites

Examples

image(cov(faux_cell))
pcov <- pooled.cov(faux_cell, faux_cell$region)
plot(pcov$means)
image(pcov$COV)