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"cov"(x, y = NULL, use = "everything", method = c("pearson", "kendall", "spearman")) pooled.cov(x, groups, ..., regularize = 1e-05 * max(abs(COV)))
cov
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pooled.cov calculates pooled covariance like e.g. in LDA.
pooled.cov
nwl (x)
image (cov (chondro)) pcov <- pooled.cov (chondro, chondro$clusters) plot (pcov$means) image (pcov$COV)
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