Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Correlations of estimates in bipartite dataset #144

Open
AlexaBennett opened this issue Jun 28, 2024 · 0 comments
Open

Correlations of estimates in bipartite dataset #144

AlexaBennett opened this issue Jun 28, 2024 · 0 comments

Comments

@AlexaBennett
Copy link

This is more of a feature request than an issue.

What is the correct method, statistically speaking, for testing for correlations between estimates in bipartite datasets? What if the data is non-normally distributed and requires a non-parametric test?

For example, I have data for a taxonomic marker gene and two functional potential marker genes. I want to see if the diversity overall or within covariate groups correlates with each combination of marker genes. An additional caveat is that the diversity estimates for the functional genes are commonly non-normally distributed.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant