variation {compositions} | R Documentation |
Variation matrices of amounts and compositions
Description
Compute the variation matrix in the various approaches of compositional and amount data analysis. Pay attention that this is not computing the variance or covariance matrix!
Usage
variation(x,...)
## S3 method for class 'acomp'
variation(x, ...,robust=getOption("robust"))
## S3 method for class 'rcomp'
variation(x, ...,robust=getOption("robust"))
## S3 method for class 'aplus'
variation(x, ...,robust=getOption("robust"))
## S3 method for class 'rplus'
variation(x, ...,robust=getOption("robust"))
## S3 method for class 'rmult'
variation(x, ...,robust=getOption("robust"))
is.variation(M, tol=1e-10)
Arguments
x |
a dataset, eventually of amounts or compositions |
... |
currently unused |
robust |
A description of a robust estimator. FALSE for the classical estimators. See robustnessInCompositions for further details. |
M |
a matrix, to check if it is a valid variation |
tol |
tolerance for the check |
Details
The variation matrix was defined in the acomp
context of
analysis of compositions as the matrix of variances of all
possible log-ratios among components (Aitchison, 1986). The
generalization to rcomp objects is simply to reproduce the
variance of all possible differences between components. The
amount (aplus
, rplus
) and rmult objects
should not be treated with variation
matrices, because this was intended to skip the existence of a closure
(which does not exist in the case of amounts).
Value
The variation matrix of x.
For is.variation
, a boolean saying if the matrix satisfies the conditions to be a variation matrix.
Author(s)
K.Gerald v.d. Boogaart http://www.stat.boogaart.de
See Also
cdt
, clrvar2ilr
, clo
,
mean.acomp
, acomp
, rcomp
,
aplus
, rplus
Examples
data(SimulatedAmounts)
meanCol(sa.lognormals)
variation(acomp(sa.lognormals))
variation(rcomp(sa.lognormals))
variation(aplus(sa.lognormals))
variation(rplus(sa.lognormals))
variation(rmult(sa.lognormals))