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@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 > ______________________________________________ R-help@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