mvpa2.clfs.stats.NullDist¶

class
mvpa2.clfs.stats.
NullDist
(tail='both', **kwargs)¶ Base class for nullhypothesis testing.
Attributes
descr
Description of the object if any tail
Methods
cdf
(x)Implementations return the value of the cumulative distribution function. dists
()Implementations returns a sequence of the dist_class
instances that were used to fit the distribution.fit
(measure, ds)Implement to fit the distribution to the data. p
(x[, return_tails])Returns the pvalue for values of x
.rcdf
(x)Implementations return the value of the reverse cumulative distribution function. reset
()Parameters: tail : {‘left’, ‘right’, ‘any’, ‘both’}
Which tail of the distribution to report. For ‘any’ and ‘both’ it chooses the tail it belongs to based on the comparison to p=0.5. In the case of ‘any’ significance is taken like in a onetailed test.
enable_ca : None or list of str
Names of the conditional attributes which should be enabled in addition to the default ones
disable_ca : None or list of str
Names of the conditional attributes which should be disabled
descr : str
Description of the instance
Attributes
descr
Description of the object if any tail
Methods
cdf
(x)Implementations return the value of the cumulative distribution function. dists
()Implementations returns a sequence of the dist_class
instances that were used to fit the distribution.fit
(measure, ds)Implement to fit the distribution to the data. p
(x[, return_tails])Returns the pvalue for values of x
.rcdf
(x)Implementations return the value of the reverse cumulative distribution function. reset
()
cdf
(x)¶ Implementations return the value of the cumulative distribution function.

dists
()¶ Implementations returns a sequence of the
dist_class
instances that were used to fit the distribution.

fit
(measure, ds)¶ Implement to fit the distribution to the data.

p
(x, return_tails=False, **kwargs)¶ Returns the pvalue for values of
x
. Returned values are determined left, right, or from any tail depending on the constructor setting.In case a
FeaturewiseMeasure
was used to estimate the distribution the method returns an array. In that casex
can be a scalar value or an array of a matching shape.

rcdf
(x)¶ Implementations return the value of the reverse cumulative distribution function.

tail
¶
