size_bc.three_way: Three-way analysis of variance - cross classification (A in...

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

Description

Returns the optimal number of levels for factor B and C.

Usage

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Arguments

alpha

Risk of 1st kind

beta

Risk of 2nd kind

delta

The minimum difference to be detected

a

Number of levels of fixed factor A

n

Number of replications

cases

Specifies whether the "maximin" or "maximin" sizes are to be determined

Details

see chapter 3 in the referenced book

Value

Integers giving the sizes.

Note

Better use size.anova which allows a cleaner notation.

Author(s)

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

References

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

See Also

size.anova

Examples

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size_bc.three_way_cross.model_4_a_case1(0.05, 0.1, 0.5, 6, 2, "maximin")
size_bc.three_way_cross.model_4_a_case1(0.05, 0.1, 0.5, 6, 2, "minimin")
size_bc.three_way_cross.model_4_a_case1(0.05, 0.1, 1, 6, 2, "maximin")
size_bc.three_way_cross.model_4_a_case1(0.05, 0.1, 1, 6, 2, "minimin")
size_bc.three_way_cross.model_4_a_case2(0.05, 0.1, 0.5, 6, 2, "maximin")
size_bc.three_way_cross.model_4_a_case2(0.05, 0.1, 0.5, 6, 2, "minimin")
size_bc.three_way_cross.model_4_a_case2(0.05, 0.1, 1, 6, 2, "maximin")
size_bc.three_way_cross.model_4_a_case2(0.05, 0.1, 1, 6, 2, "minimin")
size_bc.three_way_mixed_cxbina.model_6_a_case1(0.05, 0.1, 0.5, 6, 2, "maximin")
size_bc.three_way_mixed_cxbina.model_6_a_case1(0.05, 0.1, 0.5, 6, 2, "minimin")
size_bc.three_way_mixed_cxbina.model_6_a_case2(0.05, 0.1, 0.5, 6,  2, "maximin")
size_bc.three_way_mixed_cxbina.model_6_a_case2(0.05, 0.1, 0.5, 6,  2, "minimin")

OPDOE documentation built on May 1, 2019, 8:45 p.m.