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Each of the considered space structures has an associated norm, which is computed for each element by these functions.
# S3 method for default norm(x,…) # S3 method for acomp norm(x,…) # S3 method for rcomp norm(x,…) # S3 method for aplus norm(x,…) # S3 method for rplus norm(x,…) # S3 method for rmult norm(x,…) # S3 method for rmult norm(x,…)
a dataset or a single vector of some type
currently not used, intended to select a different norm rule in the future
The norms of the given vectors. ATTENTON: norm.matrix is a wrapper around base::norm
norm.matrix
normalize
# NOT RUN { data(SimulatedAmounts) tmp <- acomp(sa.lognormals) mvar(tmp) sum(norm( tmp - mean(tmp) )^2)/(nrow(tmp)-1) # }
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