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qiime longitudinal plot-feature-volatility (version 2019.4)
--m-metadata-file [required]s
--m-metadata-file [required] 0

Plot longitudinal feature volatility and importances

Plots an interactive control chart of feature abundances (y-axis) in each sample across time (or state; x-axis). Feature importance scores and descriptive statistics for each each feature are plotted in interactive bar charts below the control chart, facilitating exploration of longitudinal feature data. This visualization is intended for use with the feature- volatility pipeline; use that pipeline to access this visualization.

Parameters

table : FeatureTable[RelativeFrequency]
Feature table containing features found in importances.
importances : FeatureData[Importance]
Feature importance scores.
metadata : Metadata
Sample metadata file containing individual_id_column.
state_column : Str
Metadata column containing state (time) variable information.
individual_id_column : Str, optional
Metadata column containing IDs for individual subjects.
default_group_column : Str, optional
The default metadata column on which to separate groups for comparison (all categorical metadata columns will be available in the visualization).
yscale : Str % Choices('linear', 'pow', 'sqrt', 'log'), optional
y-axis scaling strategy to apply.

Returns

visualization : Visualization