Description Usage Arguments Details Value Note Author(s) References See Also Examples

Returns the optimal number of levels for factor A (and B).

1 2 3 | ```
size_a.three_way_mixed_cxbina.model_3_c(alpha, beta, delta, b, c, n, cases)
size_a.three_way_mixed_cxbina.model_7_c(alpha, beta, delta, b, c, n, cases)
size_ab.three_way_mixed_cxbina.model_7_c(alpha, beta, delta, c, n, cases)
``` |

`alpha` |
Risk of 1st kind |

`beta` |
Risk of 2nd kind |

`delta` |
The minimum difference to be detected |

`b` |
Number of levels of fixed factor B |

`c` |
Number of levels of fixed factor C |

`n` |
Number of replications |

`cases` |
Specifies whether the |

see chapter 3 in the referenced book

Integer(s) giving the size(s).

Better use `size.anova`

which allows a cleaner notation.

Dieter Rasch, Juergen Pilz, L.R. Verdooren, Albrecht Gebhardt, Minghui Wang

Dieter Rasch, Juergen Pilz, L.R. Verdooren, Albrecht Gebhardt: Optimal Experimental Design with R, Chapman and Hall/CRC, 2011

1 2 3 4 5 6 | ```
size_a.three_way_mixed_cxbina.model_3_c(0.05, 0.1, 0.5, 5, 4, 1, "maximin")
size_a.three_way_mixed_cxbina.model_3_c(0.05, 0.1, 0.5, 5, 4, 1, "minimin")
size_a.three_way_mixed_cxbina.model_7_c(0.05, 0.1, 0.5, 5, 4, 1, "maximin")
size_a.three_way_mixed_cxbina.model_7_c(0.05, 0.1, 0.5, 5, 4, 1, "minimin")
size_ab.three_way_mixed_cxbina.model_7_c(0.05,0.1,0.50, 5,2, "maximin")
size_ab.three_way_mixed_cxbina.model_7_c(0.05,0.1,0.50, 5,2, "minimin")
``` |

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