cbc_decode: Convert dummy-coded CBC data back to categorical format

In jhelvy/cbcTools: Design and Analyze Choice-Based Conjoint Experiments

Convert dummy-coded CBC data back to categorical format

Description

This function converts dummy-coded CBC designs or choice data back to their original categorical format. This is useful for displaying choice questions to respondents or for analysis that requires categorical variables. Only works for data without no-choice options, as no-choice data cannot be meaningfully converted back to categorical format.

Usage

cbc_decode(data)

Arguments

data	A cbc_design or cbc_choices object with dummy-coded categorical variables

Value

The input object with categorical variables restored to their original format

Examples

library(cbcTools)

# Create profiles with categorical variables
profiles <- cbc_profiles(
  price = c(10, 20, 30),
  quality = c("Low", "Medium", "High"),
  brand = c("A", "B")
)

# Create design (will be dummy-coded by default)
design <- cbc_design(
  profiles = profiles,
  n_alts = 2,
  n_q = 4
)

# Convert design back to categorical format
design_categorical <- cbc_decode(design)
head(design_categorical)

# Also works with choice data
choices <- cbc_choices(design)
choices_categorical <- cbc_decode(choices)
head(choices_categorical)

jhelvy/cbcTools documentation built on July 17, 2025, 3:02 a.m.