designBalanced: Create a Design Matrix for a Balanced Design

In lestat: A Package for Learning Statistics

Description

The function creates a design matrix suitable for analyzing results from an experiment where a set of factors are analysed in a balanced design: The argument factors lists the number of levels of each factor, and each possible combination of levels of factors is tried out a number of times given by replications.

Usage

designBalanced(factors, replications = 1, interactions = FALSE)

Arguments

factors	A vector of integers, listing the number of levels of each of the factors.
replications	An integer: The number of times each combination of factor levels is tried out.
interactions	If true, the design matrix will include columns for all possible interactions of the factors.

Value

A matrix where the number of rows equals the product of factors and replications. The matrix will have only 0's and 1's as values.

Author(s)

Petter Mostad <[e-mail]>

See Also

designFactorial, designOneGroup, designTwoGroups, designManyGroups

Examples

designBalanced(c(3, 3), 2)

lestat documentation built on May 2, 2019, 2:09 p.m.