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

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,
args_to_fix = NULL
)

## Arguments

N 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, m_arms and conditions are always args_to_fix.

## Value

A function that returns a design.

## Details

See vignette online.

## Author

DeclareDesign Team

## Examples


# 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"))