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2013 May 02
2
rda variance partioning in vegan problems
...estion is related to partitioning the variance in rda (vegan) results for multiple groups of variables. I have a high dimensional dataset with 79 explanatory variables and 9 response variables. Within those 79 explanatory variables there are ~8 groups (e.g. water chemistry, land cover, geography, surficial geology, etc). To partition out their unique and binary interactive variance, I run the ~30 conditioned RDAs necessary to determine the "pure effects" of each group and the "pure binary interactions" of those groups with each other. My method for partitioning the variance o...