tensorpac.stats.test_stationarity¶
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tensorpac.stats.test_stationarity(x, p=0.05)[source]¶ Test the stationarity of an electrophysiological dataset.
This function performs a Augmented Dickey-Fuller test and returns a table (dataframe) with statistical properties for each epoch.
- Parameters
- xarray_like
Array of data of shape (n_epochs, n_times)
- pfloat | 0.05
P-value to use as a threshold in order to infer if the time-series are significantly stationary
- Returns
- dfpandas.DataFrame
Dataframe that contains the statistical properties for each epoch. The table contains the followong columns :
Epochs : epoch number
P-values
Stationary : boolean indicating if the time-serie is significantly stationary at the critical level p
Statistics : statistical test
CV (5%) and CV (1%) : critical value respectively at 5% and 1%
Notes
This function requires both pandas and statsmodels Python packages. See :