View source: R/sample_size_prop.R
sample_size_prop | R Documentation |
Calculates power and sample size in a one-way design for differences among response proportions of those groups.
sample_size_prop(props, power = NULL, n = NULL, alpha = 0.05)
props |
response proportion in each group |
power |
desired power |
n |
sample size in each group |
alpha |
significance level |
Specify exactly one of power
or n
in order to determine the value of the
other unspecified parameter.
## Examples from PASS Sample Size Software reference
# Example 1
sample_size_prop(props = c(0.4, 0.2, 0.2), n = 20)
sample_size_prop(props = c(0.4, 0.2, 0.2), n = 40)
sample_size_prop(props = c(0.4, 0.2, 0.2), n = 60)
sample_size_prop(props = c(0.4, 0.2, 0.2), n = 80)
sample_size_prop(props = c(0.4, 0.2, 0.2), n = 100)
# Example 2
sample_size_prop(props = c(0.4, 0.2, 0.2), power = 0.8)
sample_size_prop(props = c(0.4, 0.2, 0.2), power = 0.9)
# Example 3
sample_size_prop(power = 0.9, props = c(0.4, 0.1, 0.1))
sample_size_prop(power = 0.9001, props = c(0.4, 0.2, 0.2))
sample_size_prop(power = 0.9004, props = c(0.4, 0.3, 0.3))
sample_size_prop(power = 0.9038, props = c(0.4, 0.3, 0.1))
# Example 4
sample_size_prop(props = c(0.475, 0.2, 0.2, 0.2), n = 25)
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