power_chisq_mult_groups: Power Calculation for the Chi-Square Test comparing rates of...

In goseberg/samplesizr: Sample-size calculation made simple

Description

power_chisq_mult_groups performs the power calculation for the Chi-Square test comparing rates of k > 2 independent samples. The method used here is based on the page 30 in [1]. The power is calculated using (6.2) in [1].

Usage

power_chisq_mult_groups(p_A, n.groups, n_per_group, alpha)

Arguments

p_A	Vector \p_A of expected rates on the alternative.
n.groups	Number of Groups k.
n_per_group	Sample size per group.
alpha	Significance level α.

Details

[1] M.Kieser: Fallzahlberechnung in der medizinischen Forschung [2018], 1th Edition

Value

power_chisq_mult_groups returns the power.

Examples

power_chisq_mult_groups(p_A = c(.3, .5, .4), n.groups = 3, n_per_group = 70, alpha = .05)

goseberg/samplesizr documentation built on May 28, 2019, 8:43 a.m.