eelbrain.test.TTestIndependent

class eelbrain.test.TTestIndependent(y, x, c1=None, c0=None, match=None, sub=None, data=None, tail=0)[source]

Independent measures t-test

The test data can be specified in two forms:

In long form, with y supplying the data, x specifying condition for each case.

With y and x supplying data for the two conditions.

Parameters:

y (Var | str) – Dependent variable.
x (Factor | Interaction | NestedEffect | str) – Model containing the cells which should be compared.
c1 (str | tuple[str, ...]) – Test condition (cell of x). c1 and c0 can be omitted if x only contains two cells, in which case cells will be used in alphabetical order.
c0 (str | tuple[str, ...]) – Control condition (cell of x).
match (Factor | Interaction | NestedEffect | str) – Units within which measurements are related and should be averaged over (e.g. ‘subject’ in a between-group comparison).
sub (Var | ndarray | str) – Perform the test with a subset of the data.
data (Dataset) – If a Dataset is specified, all data-objects can be specified as names of Dataset variables.
tail (int) – Which tail of the t-distribution to consider: 0: both (two-tailed, default); 1: upper tail (one-tailed); -1: lower tail (one-tailed).

T-value.

P-value.

tail

Tailedness of the p value (0, 1 or -1).

Degrees of freedom.

full

Full description of the test result.

Methods