# anova: ANOVA testΒΆ

#### Docstring:

Usage: qiime longitudinal anova [OPTIONS] Perform an ANOVA test on any factors present in a metadata file and/or metadata-transformable artifacts. This is followed by pairwise t-tests to examine pairwise differences between categorical sample groups. Parameters: --m-metadata-file METADATA... (multiple Sample metadata containing formula terms. arguments will be merged) [required] --p-formula TEXT R-style formula specifying the model. All terms must be present in the sample metadata or metadata-transformable artifacts and can be continuous or categorical metadata columns. Formulae will be in the format "a ~ b + c", where "a" is the metric (dependent variable) and "b" and "c" are independent covariates. Use "+" to add a variable; "+ a:b" to add an interaction between variables a and b; "*" to include a variable and all interactions; and "-" to subtract a particular term (e.g., an interaction term). See https://patsy.readthedocs.io/en/latest/formulas.html for full documentation of valid formula operators. Always enclose formulae in quotes to avoid unpleasant surprises. [required] --p-sstype TEXT Choices('I', 'II', 'III') Type of sum of squares calculation to perform (I, II, or III). [default: 'II'] Outputs: --o-visualization VISUALIZATION [required] Miscellaneous: --output-dir PATH Output unspecified results to a directory --verbose / --quiet Display verbose output to stdout and/or stderr during execution of this action. Or silence output if execution is successful (silence is golden). --citations Show citations and exit. --help Show this message and exit.

#### Import:

```
from qiime2.plugins.longitudinal.visualizers import anova
```

#### Docstring:

ANOVA test Perform an ANOVA test on any factors present in a metadata file and/or metadata-transformable artifacts. This is followed by pairwise t-tests to examine pairwise differences between categorical sample groups. Parameters ---------- metadata : Metadata Sample metadata containing formula terms. formula : Str R-style formula specifying the model. All terms must be present in the sample metadata or metadata-transformable artifacts and can be continuous or categorical metadata columns. Formulae will be in the format "a ~ b + c", where "a" is the metric (dependent variable) and "b" and "c" are independent covariates. Use "+" to add a variable; "+ a:b" to add an interaction between variables a and b; "*" to include a variable and all interactions; and "-" to subtract a particular term (e.g., an interaction term). See https://patsy.readthedocs.io/en/latest/formulas.html for full documentation of valid formula operators. Always enclose formulae in quotes to avoid unpleasant surprises. sstype : Str % Choices('I', 'II', 'III'), optional Type of sum of squares calculation to perform (I, II, or III). Returns ------- visualization : Visualization