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misc.stats
Module: misc.stats
Inheritance diagram for mvpa.misc.stats:
Little statistics helper
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class mvpa.misc.stats.DSMatrix(data_vectors, metric='spearman')
Bases: object
DSMatrix allows for the creation of dissilimarity matrices using
arbitrary distance metrics.
Initialize DSMatrix
Parameters: |
- data_vectors (ndarray) – m x n collection of vectors, where m is the number of exemplars
and n is the number of features per exemplar
- metric (string) – Distance metric to use (e.g., ‘euclidean’, ‘spearman’, ‘pearson’,
‘confusion’)
|
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getFullMatrix()
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getMetric()
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getTriangle()
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getVectorForm()
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mvpa.misc.stats.chisquare(obs, exp=None)
Compute the chisquare value of a contingency table with arbitrary
dimensions.
If no expected frequencies are supplied, the total N is assumed to be
equally distributed across all cells.
Returns: chisquare-stats, associated p-value (upper tail)