Hello,
I'm working with a series (30+) of hydrologic metrics and 10 vegetation communities and I need to determine which of the metrics provide the best separability for each of the vegetation communities. The hydrologic metrics are highly correlated, therefore the need to reduce the number of them considered is critically important. I've been looking at the scatter3d function in the car package as a tool that offers exceptionally useful visualizations. As an example, the options to run this function as follows is very much what I'm after but with a categorical response instead of a continuous one library(car) library(rgl) scatter3d(prestige ~ income + education | type , surface=FALSE, ellipsoid=TRUE, revolutions=3, data=Duncan) Using my data I'd like to use the function as follows: scatter3d(CSSS$VegtypeID ~ CSSS$MeanAnnualDepth + CSSS$Hydroperiod + CSSS$MedianWet, ellipsoid=TRUE, revolutions=3, data=CSSS) or: scatter3d(CSSS$DA7Depth ~ CSSS$MeanAnnualDepth + CSSS$Hydroperiod + CSSS$MedianWet | type=CSSS$VegtypeID, ellipsoid=TRUE, revolutions=3, data=CSSS) If you know of a different function / package combination that can handle this approach I'd really like to learn about it. The ellipsoid is exceptionally valuable and I'm really interested in a function that offers that option. Thanks Steve Steve Friedman Ph. D. Ecologist / Spatial Statistical Analyst Everglades and Dry Tortugas National Park 950 N Krome Ave (3rd Floor) Homestead, Florida 33034 steve_fried...@nps.gov Office (305) 224 - 4282 Fax (305) 224 - 4147 ______________________________________________ R-help@r-project.org mailing list 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.
