Create a one-level two-arm design
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 |
| treatment_sd | A nonnegative number. Standard deviation in treatment. By default equals |
| 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()