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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,...)
The norms of the given vectors. ATTENTON: norm.matrix is a wrapper around base::norm
norm.matrix
a dataset or a single vector of some type
currently not used, intended to select a different norm rule in the future
K.Gerald v.d. Boogaart http://www.stat.boogaart.de
normalize
data(SimulatedAmounts) tmp <- acomp(sa.lognormals) mvar(tmp) sum(norm( tmp - mean(tmp) )^2)/(nrow(tmp)-1)
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