View source: R/ANCOVA_contrast.R

ANCOVA_contrast | R Documentation |

Complete power analyses for specific ANCOVA contrasts. This function does not support within subjects factors.

ANCOVA_contrast( cmat, mu, n = NULL, sd, r2 = NULL, n_cov, alpha_level = Superpower_options("alpha_level"), beta_level = NULL, round_up = TRUE )

`cmat` |
Matrix of the specific contrasts of interest |

`mu` |
Vector specifying mean for each condition |

`n` |
Sample size in each condition |

`sd` |
Standard deviation for all conditions (or a vector specifying the sd for each condition) |

`r2` |
Coefficient of Determination of the model with only the covariates |

`n_cov` |
Number of covariates |

`alpha_level` |
Alpha level used to determine statistical significance |

`beta_level` |
Type II error probability (power/100-1) |

`round_up` |
Logical indicator (default = TRUE) for whether to round up sample size calculations to nearest whole number |

Object of class "power.htest", a list of the arguments (including the computed one) augmented with method and note elements.

Shieh, G. (2020). Power analysis and sample size planning in ANCOVA designs. Psychometrika, 85(1), 101-120.

ANCOVA_contrast(cmat = c(-1,1), n = 15, mu = c(0,1), sd = 1, r2 = .2, n_cov = 1)

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