designs_f: Design matrix generation for factors

In nikitagusarov/dcesimulatr: Discrete Choice Experiment Simulator

Design matrix generation for factors

Description

Create experimental design based on factors. The design configuration assumes that all alternatives' attributes are "factors": vectors declared using 'c()' assignement. Other attribute types will be ignored.

Usage

designs_f(experimental_design, n = NULL, resample = NULL)

Arguments

experimental_design	Input experimnetal design object
n	The n is not used in current version
resample	Logical. Declares whether the dataset should be resampled (shuffled) in case of factorial design element presence.

Value

data.frame A dataset of choice sets (Z) respecting FF Design.

Examples

# Create alternatives
alt1 <- alternative$new()
alt1$add_attributes(Quality = c(0:1), Price = c(2, 2.5))
alt2 <- alternative$new()
alt2$add_attributes(Size = c(1:3), Price = c(1.5, 2))

# Regroup alternatives into design
edesign <- experimental_design$new(alternatives = list(alt1, alt2), design = "factorial")
Z <- designs_f(edesign, n = 2)

nikitagusarov/dcesimulatr documentation built on Jan. 7, 2023, 4:27 p.m.