# 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()