Create a design with multiple experimental armsSource:
Creates a design with
m_arms experimental arms, each assigned with equal probability.
An integer. Sample size.
An integer. Number of arms.
A numeric vector of length
m_arms. Average outcome in each arm.
A nonnegative scalar. Standard deviation of individual-level shock (common across arms).
A nonnegative numeric vector of length
m_arms. Standard deviations for condition-level shocks.
A vector of length
m_arms. The names of each arm. It can be given as numeric or character class (without blank spaces).
A character vector. Names of arguments to be args_to_fix in design. By default,
conditionsare always args_to_fix.
See vignette online.
# 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, args_to_fix = c("outcome_means", "outcome_sds"))