two_arm_designer {DesignLibrary} | R Documentation |
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,
args_to_fix = NULL
)
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. |
args_to_fix |
A character vector. Names of arguments to be args_to_fix in design. |
Units are assigned to treatment using complete random assignment. Potential outcomes are normally distributed according to the mean and sd arguments.
A simple two-arm design.
# Generate a simple two-arm design using default arguments
two_arm_design <- two_arm_designer()