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superficial
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 of...