size_n.three_way {OPDOE} | R Documentation |
Design for Three-Way ANOVA
Description
Returns the optimal number of obervations per level of each factor.
Usage
size_n.three_way_cross.model_1_a (alpha, beta, delta, a, b, c, cases)
size_n.three_way_cross.model_1_axb (alpha, beta, delta, a, b, c, cases)
size_n.three_way_cross.model_1_axbxc (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_ab_in_c.model_1_a (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_ab_in_c.model_1_b (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_ab_in_c.model_1_c (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_ab_in_c.model_3_c (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_ab_in_c.model_4_c (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_cxbina.model_1_a (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_cxbina.model_1_axc (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_cxbina.model_1_b (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_cxbina.model_1_bxc (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_cxbina.model_1_c (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_cxbina.model_3_b (alpha, beta, delta, a, b, c, cases)
size_n.three_way_mixed_cxbina.model_3_bxc (alpha, beta, delta, a, b, c, cases)
size_n.three_way_nested.model_1_a (alpha, beta, delta, a, b, c, cases)
size_n.three_way_nested.model_1_b (alpha, beta, delta, a, b, c, cases)
size_n.three_way_nested.model_1_c (alpha, beta, delta, a, b, c, cases)
size_n.three_way_nested.model_3_b (alpha, beta, delta, a, b, c, cases)
size_n.three_way_nested.model_3_c (alpha, beta, delta, a, b, c, cases)
size_n.three_way_nested.model_4_a (alpha, beta, delta, a, b, c, cases)
size_n.three_way_nested.model_8_c (alpha, beta, delta, a, b, c, cases)
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 |
b |
Number of levels of fixed factor B |
c |
Number of levels of fixed factor C |
cases |
Specifies whether the |
Details
see chapter 3 in the referenced book
Value
Integer giving the size.
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
Examples
size_n.three_way_cross.model_1_a(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_cross.model_1_a(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_cross.model_1_axb(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_cross.model_1_axb(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_cross.model_1_axbxc(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_cross.model_1_axbxc(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_ab_in_c.model_1_a(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_ab_in_c.model_1_a(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_ab_in_c.model_1_axb(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_ab_in_c.model_1_axb(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_ab_in_c.model_1_b(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_ab_in_c.model_1_b(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_ab_in_c.model_1_c(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_ab_in_c.model_1_c(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_ab_in_c.model_3_c(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_ab_in_c.model_3_c(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_ab_in_c.model_4_c(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_ab_in_c.model_4_c(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_cxbina.model_1_a(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_cxbina.model_1_a(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_cxbina.model_1_axc(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_cxbina.model_1_axc(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_cxbina.model_1_b(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_cxbina.model_1_b(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_cxbina.model_1_bxc(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_cxbina.model_1_bxc(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_cxbina.model_1_c(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_cxbina.model_1_c(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_cxbina.model_3_b(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_cxbina.model_3_b(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_mixed_cxbina.model_3_bxc (0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_mixed_cxbina.model_3_bxc (0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_nested.model_1_a(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_nested.model_1_a(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_nested.model_1_b(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_nested.model_1_b(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_nested.model_1_c(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_nested.model_1_c(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_nested.model_3_b(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_nested.model_3_b(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_nested.model_3_c(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_nested.model_3_c(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
size_n.three_way_nested.model_4_c(0.05, 0.1, 0.5, 6, NA, 4, "maximin")
size_n.three_way_nested.model_4_c(0.05, 0.1, 0.5, 6, NA, 4, "minimin")
size_n.three_way_nested.model_8_c(0.05, 0.1, 0.5, 6, 5, 4, "maximin")
size_n.three_way_nested.model_8_c(0.05, 0.1, 0.5, 6, 5, 4, "minimin")
[Package OPDOE version 1.0-10 Index]