CCA - varpart result discrepancy

[francesco-ricci]

Hello everyone, I am running variation partitioning (using cca instead of rda) and cca from the r package vegan. Both analyses are run on the same dataset, but I get different results in terms of the variation of the dataset that the two analyses explain. I wondered if anyone can help explain why despite both analyses relying on cca I get different results.

Thanks!

[jarioksa]

Do you mean that varpart is based on adjusted R² instead of raw proportions of inertia? I think this is obvious both from the documentation and column headers in varpart. Please give more details specifying, how the results are inconsistent.

[francesco-ricci]

I run varpart (CCA) and CCA on the same X dataset.

varpart explains in total (counting each partition) 11% of the composition of X dataset.

CCA explains 17% of the composition of X dataset.

Since both test run on CCA, I wonder why the results are different.

Thanks

[jarioksa]

Adjusted R² vs unadjusted R².