mvpa2.clfs.stats.NullDist

class mvpa2.clfs.stats.NullDist(tail='both', **kwargs)

Base class for null-hypothesis 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 p-value 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 one-tailed 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 p-value 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 p-value 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 case x 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