Sample Size for Multiple Proportions in One-Way Design
sample_size_prop.Rd
Calculates power and sample size in a one-way design for differences among response proportions of those groups.
Details
Specify exactly one of power
or n
in order to determine the value of the
other unspecified parameter.
Examples
## Examples from PASS Sample Size Software reference
# Example 1
sample_size_prop(props = c(0.4, 0.2, 0.2), n = 20)
#> $power
#> [1] 0.286702
#>
#> $V
#> [1] 0.1482442
#>
sample_size_prop(props = c(0.4, 0.2, 0.2), n = 40)
#> $power
#> [1] 0.5265619
#>
#> $V
#> [1] 0.1482442
#>
sample_size_prop(props = c(0.4, 0.2, 0.2), n = 60)
#> $power
#> [1] 0.7124353
#>
#> $V
#> [1] 0.1482442
#>
sample_size_prop(props = c(0.4, 0.2, 0.2), n = 80)
#> $power
#> [1] 0.8367012
#>
#> $V
#> [1] 0.1482442
#>
sample_size_prop(props = c(0.4, 0.2, 0.2), n = 100)
#> $power
#> [1] 0.9120672
#>
#> $V
#> [1] 0.1482442
#>
# Example 2
sample_size_prop(props = c(0.4, 0.2, 0.2), power = 0.8)
#> $Ng
#> [1] 74
#>
#> $N
#> [1] 222
#>
#> $V
#> [1] 0.1473083
#>
sample_size_prop(props = c(0.4, 0.2, 0.2), power = 0.9)
#> $Ng
#> [1] 96
#>
#> $N
#> [1] 288
#>
#> $V
#> [1] 0.1482182
#>
# Example 3
sample_size_prop(power = 0.9, props = c(0.4, 0.1, 0.1))
#> $Ng
#> [1] 36
#>
#> $N
#> [1] 108
#>
#> $V
#> [1] 0.2420393
#>
sample_size_prop(power = 0.9001, props = c(0.4, 0.2, 0.2))
#> $Ng
#> [1] 96
#>
#> $N
#> [1] 288
#>
#> $V
#> [1] 0.1482426
#>
sample_size_prop(power = 0.9004, props = c(0.4, 0.3, 0.3))
#> $Ng
#> [1] 428
#>
#> $N
#> [1] 1284
#>
#> $V
#> [1] 0.07024275
#>
sample_size_prop(power = 0.9038, props = c(0.4, 0.3, 0.1))
#> $Ng
#> [1] 49
#>
#> $N
#> [1] 147
#>
#> $V
#> [1] 0.208778
#>
# Example 4
sample_size_prop(props = c(0.475, 0.2, 0.2, 0.2), n = 25)
#> $power
#> [1] 0.5721433
#>
#> $V
#> [1] 0.149968
#>