size_c.three_way {OPDOE} | R Documentation |
Returns the optimal number of levels for .
size_c.three_way_cross.model_3_a (alpha, beta, delta, a, b, n, cases)
size_c.three_way_cross.model_3_axb (alpha, beta, delta, a, b, n, cases)
size_c.three_way_mixed_ab_in_c.model_5_a (alpha, beta, delta, a, b, n, cases)
size_c.three_way_mixed_ab_in_c.model_5_axb(alpha, beta, delta, a, b, n, cases)
size_c.three_way_mixed_ab_in_c.model_5_b (alpha, beta, delta, a, b, n, cases)
size_c.three_way_mixed_ab_in_c.model_6_b (alpha, beta, delta, a, b, n, cases)
size_c.three_way_mixed_cxbina.model_5_a (alpha, beta, delta, a, b, n, cases)
size_c.three_way_mixed_cxbina.model_5_b (alpha, beta, delta, a, b, n, cases)
size_c.three_way_mixed_cxbina.model_7_b (alpha, beta, delta, a, b, n, cases)
size_c.three_way_nested.model_5_a (alpha, beta, delta, a, b, n, cases)
size_c.three_way_nested.model_5_b (alpha, beta, delta, a, b, n, cases)
size_c.three_way_nested.model_7_b (alpha, beta, delta, a, b, 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 |
b |
Number of levels of fixed factor B |
n |
Number of replications |
cases |
Specifies whether the |
see chapter 3 in the referenced book
integer, desired size of factor C
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_c.three_way_cross.model_3_a(0.05, 0.1, 0.5, 6, 5, 2, "maximin")
size_c.three_way_cross.model_3_a(0.05, 0.1, 0.5, 6, 5, 2, "minimin")
size_c.three_way_cross.model_3_axb(0.05, 0.1, 0.5, 6, 5, 2, "maximin")
size_c.three_way_cross.model_3_axb(0.05, 0.1, 0.5, 6, 5, 2, "minimin")
size_c.three_way_mixed_ab_in_c.model_5_a(0.05, 0.1, 0.5, 6, 5, 1, "maximin")
size_c.three_way_mixed_ab_in_c.model_5_a(0.05, 0.1, 0.5, 6, 5, 1, "minimin")
size_c.three_way_mixed_ab_in_c.model_5_axb(0.05, 0.1, 0.5, 6, 5, 1, "maximin")
size_c.three_way_mixed_ab_in_c.model_5_axb(0.05, 0.1, 0.5, 6, 5, 1, "minimin")
size_c.three_way_mixed_ab_in_c.model_5_b(0.05, 0.1, 0.5, 6, 5, 1, "maximin")
size_c.three_way_mixed_ab_in_c.model_5_b(0.05, 0.1, 0.5, 6, 5, 1, "minimin")
size_c.three_way_mixed_ab_in_c.model_6_b(0.05, 0.1, 0.5, 6, 5, 1, "maximin")
size_c.three_way_mixed_ab_in_c.model_6_b(0.05, 0.1, 0.5, 6, 5, 1, "minimin")
size_c.three_way_mixed_cxbina.model_5_a(0.05, 0.1, 0.5, 6, 5, 2, "maximin")
size_c.three_way_mixed_cxbina.model_5_a(0.05, 0.1, 0.5, 6, 5, 2, "minimin")
size_c.three_way_mixed_cxbina.model_5_b(0.05, 0.1, 0.5, 6, 5, 2, "maximin")
size_c.three_way_mixed_cxbina.model_5_b(0.05, 0.1, 0.5, 6, 5, 2, "minimin")
size_c.three_way_mixed_cxbina.model_7_b(0.05, 0.1, 0.5, 6, 5, 2, "maximin")
size_c.three_way_mixed_cxbina.model_7_b(0.05, 0.1, 0.5, 6, 5, 2, "minimin")
size_c.three_way_nested.model_5_a(0.05, 0.1, 0.5, 6, 5, 2, "maximin")
size_c.three_way_nested.model_5_a(0.05, 0.1, 0.5, 6, 5, 2, "minimin")
size_c.three_way_nested.model_5_b(0.05, 0.1, 0.5, 6, 5, 2, "maximin")
size_c.three_way_nested.model_5_b(0.05, 0.1, 0.5, 6, 5, 2, "minimin")
size_c.three_way_nested.model_7_b(0.05, 0.1, 0.5, 6, 4, 1, "maximin")
size_c.three_way_nested.model_7_b(0.05, 0.1, 0.5, 6, 4, 1, "minimin")