Compute Sum of Squares or LCBD from a Symmetric Dissimilarity Matrix

Computes the per-site sum of squares (SS) from a symmetric dissimilarity matrix using double-centering. Optionally returns LCBD values (relative contributions to total SS).

Usage

SS_calc(x, LCBD = FALSE)

Arguments

x

A numeric symmetric matrix (e.g., a squared Euclidean dissimilarity matrix).

LCBD

Logical; if TRUE, returns normalized values summing to 1 (LCBD).

Value

A numeric vector of length nrow(x). If LCBD = TRUE, the values sum to 1.

Details

The function double-centers the dissimilarity matrix x and extracts the diagonal elements. If LCBD = TRUE, the diagonal is normalized to sum to 1.

See also

LCBD.comp