Covariance matrices for hyperSpec objects

Source: R/cov.R

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)