size_n.two_way {OPDOE} | R Documentation |
Design for Two-Way ANOVA
Description
Returns the optimal number of obervations per level of factor A.
Usage
size_n.two_way_cross.model_1_a(alpha, beta, delta, a, b, cases)
size_n.two_way_cross.model_1_axb(alpha, beta, delta, a, b, cases)
size_n.two_way_nested.model_1_test_factor_a(alpha, beta, delta, a, b, cases)
size_n.two_way_nested.model_1_test_factor_b(alpha, beta, delta, a, b, cases)
size_n.two_way_nested.a_random_b_fixed_b(alpha, beta, delta, a, b, 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 |
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.two_way_cross.model_1_a(0.05,0.1, 1, 6, 4, "maximin")
size_n.two_way_cross.model_1_a(0.05,0.1, 1, 6, 4, "minimin")
size_n.two_way_cross.model_1_axb(0.05,0.1, 1, 6, 4, "maximin")
size_n.two_way_cross.model_1_axb(0.05,0.1, 1, 6, 4, "minimin")
size_n.two_way_nested.model_1_test_factor_a(0.05, 0.1, 1, 6, 4, "maximin")
size_n.two_way_nested.model_1_test_factor_a(0.05, 0.1, 1, 6, 4, "minimin")
size_n.two_way_nested.a_random_b_fixed_b(0.05, 0.1, 1, 2, 10, "maximin")
size_n.two_way_nested.a_random_b_fixed_b(0.05, 0.1, 1, 2, 10, "minimin")
size_n.two_way_nested.a_random_b_fixed_b(0.05, 0.1, 1, 3, 10, "maximin")
size_n.two_way_nested.a_random_b_fixed_b(0.05, 0.1, 1, 3, 10, "minimin")
size_n.two_way_nested.a_random_b_fixed_b(0.05, 0.1, 1, 10, 10, "maximin")
size_n.two_way_nested.a_random_b_fixed_b(0.05, 0.1, 1, 10, 10, "minimin")
[Package OPDOE version 1.0-10 Index]