size_bc.three_way {OPDOE} | R Documentation |
Returns the optimal number of levels for factor B and C.
size_bc.three_way_cross.model_4_a_case1(alpha, beta, delta, a, n, cases)
size_bc.three_way_cross.model_4_a_case2(alpha, beta, delta, a, n, cases)
size_bc.three_way_mixed_cxbina.model_6_a_case1(alpha, beta, delta, a, n, cases)
size_bc.three_way_mixed_cxbina.model_6_a_case2(alpha, beta, delta, a, n, cases)
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 |
see chapter 3 in the referenced book
Integers giving the sizes.
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
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")