This function prints out a summary of the individual and pairwise counts of each level for each attribute across all choice questions in the design.
cbc_balance(design)A data frame of a survey design.
Prints the individual and pairwise counts of the number of times each attribute levels in shown in the design.
library(cbcTools)
# A simple conjoint experiment about apples
# Generate all possible profiles
profiles <- cbc_profiles(
price = c(1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5),
type = c("Fuji", "Gala", "Honeycrisp"),
freshness = c('Poor', 'Average', 'Excellent')
)
# Make a survey design from all possible profiles
# (This is the default setting where method = 'full' for "full factorial")
design <- cbc_design(
profiles = profiles,
n_resp = 300, # Number of respondents
n_alts = 3, # Number of alternatives per question
n_q = 6 # Number of questions per respondent
)
# Inspect the design balance
cbc_balance(design)
#> =====================================
#> Individual attribute level counts
#>
#> price:
#>
#> 1 1.5 2 2.5 3 3.5 4 4.5 5
#> 612 626 632 574 575 612 555 625 589
#>
#> type:
#>
#> Fuji Gala Honeycrisp
#> 1815 1815 1770
#>
#> freshness:
#>
#> Poor Average Excellent
#> 1761 1828 1811
#>
#> =====================================
#> Pairwise attribute level counts
#>
#> price x type:
#>
#> Fuji Gala Honeycrisp
#> NA 1815 1815 1770
#> 1 612 192 202 218
#> 1.5 626 206 212 208
#> 2 632 213 227 192
#> 2.5 574 176 203 195
#> 3 575 179 192 204
#> 3.5 612 222 210 180
#> 4 555 182 189 184
#> 4.5 625 228 199 198
#> 5 589 217 181 191
#>
#> price x freshness:
#>
#> Poor Average Excellent
#> NA 1761 1828 1811
#> 1 612 211 197 204
#> 1.5 626 199 204 223
#> 2 632 203 221 208
#> 2.5 574 184 193 197
#> 3 575 193 202 180
#> 3.5 612 193 211 208
#> 4 555 177 188 190
#> 4.5 625 204 217 204
#> 5 589 197 195 197
#>
#> type x freshness:
#>
#> Poor Average Excellent
#> NA 1761 1828 1811
#> Fuji 1815 572 601 642
#> Gala 1815 603 620 592
#> Honeycrisp 1770 586 607 577
#>
# Inspect the design overlap
cbc_overlap(design)
#> ==============================
#> Counts of attribute overlap:
#> (# of questions with N unique levels)
#>
#> price:
#>
#> 1 2 3
#> 12 490 1298
#>
#> type:
#>
#> 1 2 3
#> 183 1211 406
#>
#> freshness:
#>
#> 1 2 3
#> 180 1201 419
#>