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Obtains the power given sample size or obtains the sample size given power for one-sample multinomial response.
getDesignOneMultinom(
beta = NA_real_,
n = NA_real_,
ncats = NA_integer_,
piH0 = NA_real_,
pi = NA_real_,
rounding = TRUE,
alpha = 0.05
)An S3 class designOneMultinom object with the following
components:
power: The power to reject the null hypothesis.
alpha: The two-sided significance level.
n: The maximum number of subjects.
ncats: The number of categories of the multinomial response.
piH0: The prevalence of each category under the null hypothesis.
pi: The prevalence of each category.
effectsize: The effect size for the chi-square test.
rounding: Whether to round up sample size.
The type II error.
The total sample size.
The number of categories of the multinomial response.
The prevalence of each category under the null hypothesis.
Only need to provide the values for the first ncats-1
categories.
The prevalence of each category. Only need to provide the
values for the first ncats-1 categories.
Whether to round up sample size. Defaults to 1 for sample size rounding.
The two-sided significance level. Defaults to 0.05.
Kaifeng Lu, kaifenglu@gmail.com
(design1 <- getDesignOneMultinom(
beta = 0.1, ncats = 3, piH0 = c(0.25, 0.25),
pi = c(0.3, 0.4), alpha = 0.05))
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