Hi I'm interested in trying this approach with my microbiome data but I'm
confused by your treatment.btwnsub file and how that relates to the other two
files. could you share the dput of the treatments.fullmatrix and
treatment.btwnsub?
thanks
Kendra
--
Kendra Maas, Ph.D.
Post Doctoral Researc
On Tue, 30 Sep 2014, separ...@yahoo.com wrote:
See Filzmoser et al. (2009)
http://www.statistik.tuwien.ac.at/forschung/SM/SM-2009-2.pdf
Serge-Étienne,
I'll carefully read this; have not found it in my literature surches.
Filzmoser et al. (2009) wrote that "Some measures like the standard
Hi Rich,
Filzmoser et al. (2009) wrote that "Some measures like the standard deviation
(or the variance) make no statistical sense with closed data [...]". They also
wrote that "If Euclidean geometry is not valid, the arithmetic mean is quite
likely to be a poor estimate of the data center."
For a data set of count proportions, testing for fit to a multivariate
normal distribution is done with the function dnorm.acomp() in package
'compositions'. The function's calling parameters are the data set, mean,
and variance.
Example data set:
dput(win.acomp)
structure(c(0.0667, 0.06120
Apologies for cross-posting
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