Builds a design with one treatment and one control arm. Treatment effects can be specified either by providing control_mean and treatment_mean or by specifying a control_mean and ate.

two_arm_designer(N = 100, assignment_prob = 0.5, control_mean = 0,
  control_sd = 1, ate = 1, treatment_mean = control_mean + ate,
  treatment_sd = control_sd, rho = 1)

Arguments

N

An integer. Sample size.

assignment_prob

A number in [0,1]. Probability of assignment to treatment.

control_mean

A number. Average outcome in control.

control_sd

A positive number. Standard deviation in control.

ate

A number. Average treatment effect.

treatment_mean

A number. Average outcome in treatment. Overrides ate if both specified.

treatment_sd

A nonnegative number. Standard deviation in treatment. By default equals control_sd.

rho

A number in [-1,1]. Correlation between treatment and control outcomes.

Value

A simple two-arm design.

Details

Units are assigned to treatment using complete random assignment. Potential outcomes are normally distributed according to the mean and sd arguments.

Examples

#Generate a simple two-arm design using default arguments two_arm_design <- two_arm_designer()

Author

DeclareDesign Team