DesignLibrary (version 0.1.2)

multi_arm_designer: Create a design with multiple experimental arms

Description

Creates a design with m_arms experimental arms, each assigned with equal probability.

Usage

multi_arm_designer(N = 30, m_arms = 3, outcome_means = rep(0,
  m_arms), sd_i = 1, outcome_sds = rep(0, m_arms),
  conditions = 1:m_arms, fixed = NULL)

Arguments

N

An integer. Sample size.

m_arms

An integer. Number of arms.

outcome_means

A numeric vector of length m_arms. Average outcome in each arm.

sd_i

A nonnegative scalar. Standard deviation of individual-level shock (common across arms).

outcome_sds

A nonnegative numeric vector of length m_arms. Standard deviations for condition-level shocks.

conditions

A vector of length m_arms. The names of each arm. It can be given as numeric or character class (without blank spaces).

fixed

A character vector. Names of arguments to be fixed in design. By default, m_arms and conditions are always fixed.

Value

A function that returns a design.

Details

See vignette online.

Examples

# NOT RUN {
# To make a design using default arguments:
design <- multi_arm_designer()


# A design with different means and standard deviations in each arm
design <- multi_arm_designer(outcome_means = c(0, 0.5, 2), outcome_sds =  c(1, 0.1, 0.5))

design <- multi_arm_designer(N = 80, m_arms = 4, outcome_means = 1:4,
                             fixed = c("outcome_means", "outcome_sds"))

# }