multi_arm_designer: Create a design with multiple experimental arms

Description Usage Arguments Details Value Author(s) Examples

View source: R/multi_arm_designer.R

Description

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

Usage

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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.

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).

args_to_fix

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

Details

See vignette online.

Value

A function that returns a design.

Author(s)

DeclareDesign Team

Examples

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# 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"))

DesignLibrary documentation built on March 3, 2021, 1:11 a.m.