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Microbiome & multi-omics / PERMANOVA (adonis)

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How to read it

PERMANOVA (adonis)

PERMANOVA (also called adonis) tests whether group centroids differ in multivariate distance space. R² is the share of distance variation explained by the grouping, pseudo-F the ratio of between- to within-group mean squares, and P comes from permuting group labels (P = (1 + number of permuted F ≥ observed) / (1 + permutations)).

Upload an abundance table (choose the transformation and distance) or a distance matrix you have already computed (for example UniFrac). Only samples listed in the sample sheet are tested.

Permutation tests are random: a fixed seed makes results reproducible, and more permutations give a finer P (smallest P = 0.001 with 999). With three or more groups, pairwise PERMANOVA with multiple-testing correction is available.

PERMANOVA is sensitive to differences in within-group dispersion: a very spread-out group can be significant even with the same centroid, so read it alongside the PCoA plot. The plot is a PCoA of the same distance matrix with 95% ellipses per group.

Method

Anderson M. J. (2001) Austral Ecology 26:32–46. Pseudo-F and R² match scikit-bio permanova (one-way R vegan adonis2); distances match scipy.spatial.distance.

Data size

Permutation tests are slow with more than 1,000 samples.

Need a full analysis?

Send us your data and research question and you will receive a written plan within 1 working day: analysis steps, parameter rationale, deliverables and timeline. Quoted per project.