eelbrain.Model

class eelbrain.Model(x)

A list of effects.

Parameters

x (effect | iterator of effects) – Effects to be included in the model (Var, Factor, Interaction , …). Can also contain models, in which case all the model’s effects will be added.

Variables

effects (list) – Effects included in the model (Var, Factor, etc. objects)

Methods

array(coding)	Model matrix as numpy array and column names
as_table([method, cases, group_terms])	Return a table with the model codes
check()	Shortcut to check linear independence and orthogonality
head([n])	Table with the first n cases in the Model
info()	A fmtxt.Table with information about the model
lin_indep()	Check the Model for linear independence of its factors
orthogonal()	Check the Model for orthogonality of its factors
repeat(n)	Repeat each row of the Model n times
sorted()	Sorted copy of the Model, interactions last
tail([n])	Table with the last n cases in the Model