Melanie Edwards wrote:> I am curious whether anybody has or is developing this capability within
> R. I have not found any software yet that has this capability and I am
> not sure whether it is too new a method and nobody is actually using it,
googling around I found that this (PVA) is a variant of factor analysis
restricted to find non-negative factors. It is not a new method,
although maybe the name is. This has been/is used for instance in
air quality monitoring to identify sources of pollution, and if you have
some prior information about possible sources that maybe could be used
to. I guess this could be called 'source unmixing' or something similar,
which indicatyes a similarity with independent component analysis. Maybe
enough to restrict optimization to non-negative values?
help.search("factor analysis") shows that factor analysis is multiply
implemented for R, so maybe there is something, and if not, maybe
simple to adapt.
Kjetil Halvorsen
> or if there are other means to get the same analysis that I do not know
> of. Any information regarding developments or use of this method would
> be helpful.
>
> Melanie Edwards
>
>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html
>