[R] Displaying Compositional Data With 46 Parts

[John Kane]

Hi Rich,
I think this is more a technical question for the subject matter experts than for R-help if I am understanding the question correctly.  

That said, there seems to be an R package called compositional and a corresponding book http://www.springer.com/us/book/9783642368080 that may help.  If nothing else the names of the author(s) of the package or book  or the references may give you some leads on some decent papers.

It, probably, would help anyone with some expertise in the area to be able to look at some of your data.  Have a look at ?dput and perhaps a glance at http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example and http://adv-r.had.co.nz/Reproducibility.html for some suggestions on how to do this. 

John Kane
Kingston ON Canada


> -----Original Message-----
> From: rshepard at appl-ecosys.com
> Sent: Fri, 17 Jul 2015 06:16:44 -0700 (PDT)
> To: r-help at 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 209 observations of each. With no experience analyzing large
> compositions with so many parts your advice on how to plot and report
> results of analyzing these is needed. Matrix plots (scatter, ternary,
> etc.) of
> so many parts would be too small when printed on a page to be readable.
> 
>    Haven't found a compositional data water chemistry publication with so
> many component parts that could be used as a basis for learning how to
> work
> with such data sets.
> 
>    Advice and suggestions needed.
> 
> TIA,
> 
> Rich
> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

____________________________________________________________
FREE ONLINE PHOTOSHARING - Share your photos online with your friends and family!
Visit http://www.inbox.com/photosharing to find out more!