Methods for cbc_errors objects

Miscellaneous methods for cbc_errors class objects.

# S3 method for cbc_errors
plot(x, ...)

Arguments

x

is an object of class cbc_errors.

...

further arguments.

Value

Returns a ggplot2 object plotting standard errors versus sample size.

Examples

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
)

# Simulate random choices
data <- cbc_choices(
  design = design,
  obsID  = "obsID"
)

# Conduct a power analysis
power <- cbc_power(
  data    = data,
  pars    = c("price", "type", "freshness"),
  outcome = "choice",
  obsID   = "obsID",
  nbreaks = 10,
  n_q     = 6
)
#> Estimating models using 3 cores...
#> done!

# Visualize the results
plot(power)