cov: Covariance matrices for hyperSpec objects

In GegznaV/hyperSpec2: Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)

Description

Covariance matrices for hyperSpec objects

Usage

## S4 method for signature '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 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)

Author(s)

C. Beleites

See Also

cov

Examples

image (cov (chondro))
pcov <-  pooled.cov (chondro, chondro$clusters)
plot (pcov$means)
image (pcov$COV)

GegznaV/hyperSpec2 documentation built on Dec. 27, 2019, 9:43 a.m.