View source: R/getDesignProportions.R
getDesignUnorderedMultinom | R Documentation |
Obtains the power given sample size or obtains the sample size given power for the chi-square test for unordered multi-sample multinomial response.
getDesignUnorderedMultinom(
beta = NA_real_,
n = NA_real_,
ngroups = NA_integer_,
ncats = NA_integer_,
pi = NA_real_,
allocationRatioPlanned = NA_integer_,
rounding = TRUE,
alpha = 0.05
)
beta |
The type II error. |
n |
The total sample size. |
ngroups |
The number of treatment groups. |
ncats |
The number of categories of the multinomial response. |
pi |
The matrix of response probabilities for the treatment groups.
It should have |
allocationRatioPlanned |
Allocation ratio for the treatment groups. |
rounding |
Whether to round up sample size. Defaults to 1 for sample size rounding. |
alpha |
The two-sided significance level. Defaults to 0.05. |
An S3 class designUnorderedMultinom
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.
ngroups
: The number of treatment groups.
ncats
: The number of categories of the multinomial response.
pi
: The response probabilities for the treatment groups.
effectsize
: The effect size for the chi-square test.
allocationRatioPlanned
: Allocation ratio for the treatment
groups.
rounding
: Whether to round up sample size.
Kaifeng Lu, kaifenglu@gmail.com
(design1 <- getDesignUnorderedMultinom(
beta = 0.1, ngroups = 3, ncats = 4,
pi = matrix(c(0.230, 0.320, 0.272,
0.358, 0.442, 0.154,
0.142, 0.036, 0.039),
3, 3, byrow = TRUE),
allocationRatioPlanned = c(2, 2, 1),
alpha = 0.05))
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