It seems that dissimilarity_to_distance function (which transforms non-metric dissimilarity matrix to a weighted Euclidean distance) works only with data where number of samples > number of species.
Otherwise, smacof::smacofConstraint returns error "For C diagonal the number of dimensions needs to match the number of covariates!".
It seems that
dissimilarity_to_distancefunction (which transforms non-metric dissimilarity matrix to a weighted Euclidean distance) works only with data where number of samples > number of species. Otherwise,smacof::smacofConstraintreturns error "For C diagonal the number of dimensions needs to match the number of covariates!".This function is based on code from Greenacre 2017 (DOI:10.1002/ecy.1937)