Description Usage Arguments Value Examples

Compute Power for Logistic Regression with a Single Categorical Predictor

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`p0` |
Probability of a Desirable Outcome in the Control Condition |

`p1` |
Probability of a Desirable Outcome in the Treatment Condition |

`prop` |
Proportion in the Treatment Condition |

`alpha` |
Type I error (default is .05) |

`power` |
Desired Power |

`R2` |
How Well Predictor of Interest is Explained by Other Predictors (default is 0) |

Power for Logistic Regression with a Single Categorical Predictor

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pwr2ppl documentation built on June 12, 2019, 5:03 p.m.

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