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Jakob Russel edited this page Dec 16, 2018
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- A typical workflow
- Understand output of the testDA function
- Main functions
- Paired or blocked data
- Covariates
- Multi-class predictors
- Absolute abundances or external normalization
- Large datasets (more than 2k features)
- If you have a phyloseq object
- Pre-process data
- Plot p-value histograms for all the non-spiked features
- Post-hoc tests for linear models and ANOVAs
- Test significance of covariates
- Adding user-defined methods
- Passing arguments to the different tests
- If you find bugs or have suggestions for features, please post them as GitHub issues