power_best_normal {ssutil} | R Documentation |
Power calculation for the Indifferent-zone approach for normal outcomes
Description
Estimate the probability of correctly select the best group among
ngroups
groups if the difference between the best group and the next best
is at least dif
(the Indifferent-Zone), and the standard deviation is sd
Usage
power_best_normal(dif, sd, ngroups, npergroup, seed = NULL)
Arguments
dif |
Numeric. Indifferent-zone. Minimum difference that is considered meaningful. |
sd |
Numeric. Common standard deviation of the response variable. |
ngroups |
Integer. Number of groups (treatments) being compared. |
npergroup |
Integer. Number in each group. |
seed |
Optional. Integer seed to use in the internal call to |
Value
Integer. Sample size required per group to achieve the specified power.
Note
The function uses the quantile function multp()
, which computes critical values
for the selection procedure. This implementation assumes equal variances and independent samples.
Examples
power_best_normal(dif = 0.5, sd = 1, ngroups = 3, npergroup = 11)
[Package ssutil version 1.0.0 Index]