Profiles: Profiles generation.

In idefix: Efficient Designs for Discrete Choice Experiments

Profiles generation.

Description

Function to generate all possible combinations of attribute levels (i.e. all possible profiles).

Usage

Profiles(lvls, coding, c.lvls = NULL)

Arguments

lvls	A numeric vector which contains for each attribute the number of levels.
coding	Type of coding that needs to be used for each attribute.
c.lvls	A list containing numeric vectors with the attribute levels for each continuous attribute. The default is NULL.

Details

Valid arguments for coding are C, D and E. When using C the attribute will be treated as continuous and no coding will be applied. All possible levels should then be specified in c.lvls. If D (dummy coding) is used contr.treatment will be applied to that attribute. For E (effect coding) contr.sum will be applied.

Value

A numeric matrix which contains all possible profiles.

Examples

# Without continuous attributes
at.lvls <- c(3, 4, 2) # 3 Attributes with respectively 3, 4 and 2 levels. 
c.type <- c("E", "E", "E") # All Effect coded.
Profiles(lvls = at.lvls, coding = c.type) # Generate profiles.

# With continuous attributes 
at.lvls <- c(3, 4, 2) # 3 attributes with respectively 3, 4 and 2 levels. 
# First attribute is dummy coded, second and third are continuous. 
c.type <- c("D", "C", "C") 
# Levels for continuous attributes, in the same order. 
con.lvls <- list(c(4, 6, 8, 10), c(7, 9))
Profiles(lvls = at.lvls, coding = c.type, c.lvls = con.lvls)

idefix documentation built on March 28, 2022, 5:05 p.m.