mvpa2.datasets.miscfx.SequenceStats¶

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class
mvpa2.datasets.miscfx.
SequenceStats
(seq, order=2)¶ Simple helper to provide representation of sequence statistics
Matlab analog: https://cfn.upenn.edu/aguirre/wiki/public:m_sequences_code:mtest.m
WARNING: Experimental – API might change without warning! Current implementation is ugly!
Methods
clear
()copy
()fromkeys
(S[,v])v defaults to None. get
(k[,d])has_key
(k)items
()iteritems
()iterkeys
()itervalues
()keys
()plot
()Plot correlation coefficients pop
(k[,d])If key is not found, d is returned if given, otherwise KeyError is raised popitem
()2-tuple; but raise KeyError if D is empty. setdefault
(k[,d])update
([E, ]**F)If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k] values
()viewitems
()viewkeys
()viewvalues
()Initialize SequenceStats
Parameters: seq : list or ndarray
Actual sequence of targets
order : int
Maximal order of counter-balancing check. For perfect counterbalancing all matrices should be identical
Methods
clear
()copy
()fromkeys
(S[,v])v defaults to None. get
(k[,d])has_key
(k)items
()iteritems
()iterkeys
()itervalues
()keys
()plot
()Plot correlation coefficients pop
(k[,d])If key is not found, d is returned if given, otherwise KeyError is raised popitem
()2-tuple; but raise KeyError if D is empty. setdefault
(k[,d])update
([E, ]**F)If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k] values
()viewitems
()viewkeys
()viewvalues
()-
plot
()¶ Plot correlation coefficients
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