Hi Rich,
Being in a position of relative ignorance on this topic, I'll offer
some suggestions that may well be useless.
You mention ternary diagrams, which use position to represent
compositional proportions. These will not scale up to 46 values in any
way that I can imagine. If you want to displa
On Fri, 17 Jul 2015, Bert Gunter wrote:
I believe John Aitchison's book and papers are the authoritative basic
resources. Have you read them?
Bert,
Yes, I have.
The problem is that the support of the distributions are (hyper)simplexes,
not Euclidean space, due to the requirement that the
On Fri, 17 Jul 2015, John Kane wrote:
Then it sounds like you are one of the experts. Do whatever you think
appropriate and either set the standard for future research or get enough
feedback to do even better next time. :)
John,
Far from an expert, but becoming more capable with each projec
See in-line
John Kane
Kingston ON Canada
> -Original Message-
> From: rshep...@appl-ecosys.com
> Sent: Fri, 17 Jul 2015 07:33:43 -0700 (PDT)
> To: r-help@r-project.org
> Subject: Re: [R] Displaying Compositional Data With 46 Parts
>
> On Fri, 17 Jul 2015, Joh
On Fri, 17 Jul 2015, John Kane wrote:
I think this is more a technical question for the subject matter experts
than for R-help if I am understanding the question correctly.
John,
I agree completely. Unfortunately, there is no R SIG devoted to CoDA, nor
any other mail list or Web forum that
On Fri, 17 Jul 2015, Aaron Mackey wrote:
One immediate question is how independent you believe the 46 components to
be, and whether certain components could be reduced or otherwise
coordinately-modeled; a heatmap of your 46x46 pairwise correlations should
be informative. Also consider log-scalin
:44 -0700 (PDT)
> To: r-help@r-project.org
> Subject: [R] Displaying Compositional Data With 46 Parts
>
>The compositional data have been divided into two data frames: 46
> response
> variables (the compositional components) and 5 explanatory variables.
> There
> are
The compositional data have been divided into two data frames: 46 response
variables (the compositional components) and 5 explanatory variables. There
are 209 observations of each. With no experience analyzing large
compositions with so many parts your advice on how to plot and report
results of
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