Factorial Design
A factorial design represents a list of design points where every design point represents a possible row in the cartesian product of the levels for the factors. That is, all possible combinations of the levels for the factors are possible design points. A design point is individually generated when needed via the associated iterator for the design.
Parameters
a set representing the factors used in the design. There must be 2 factors in the supplied set.
an optional name for the design
Inheritors
Types
Properties
Functions
Makes a center point for the factors of the design in the original measurement units
Returns an iterator that produces the design points in order from 1 to the number of design points.
Returns all the design points in the experiment
Returns the design points as a data frame. The columns of the data frame are the factor names and the rows are the design points.
Returns all the design points based on the cartesian product of the factors and their levels as a 2D array. The rows of the array are the design points. The row array's 0th element represents the first factor in the list of factor names.
Returns all the design points based on the cartesian product of the factors and their levels. The element arrays of the returned list are the design points. The element array's 0th element represents the first factor in the list of factor names.
Returns the name of the factor. The first factor is at k = 1
Returns an iterator that produces the design points in order from 1 to the number of design points. Every des
To facilitate the specification of a linear model for the design
Converts the original values to code values
Converts the coded values to values on the original measurement scale.