Computes the sample size required to test a single population mean with
desired power in a 1-group design. Set the variance planning value to the
largest value within a plausible range for a conservatively large sample
size.
Usage
size.test.mean(alpha, pow, var, es)
Arguments
- alpha
alpha level for hypothesis test
- pow
desired power
- var
planning value of response variable variance
- es
planning value of mean minus null hypothesis value
Value
Returns the required sample size
Examples
size.test.mean(.05, .9, 80.5, 7)
#> Sample size
#> 20
# Should return:
# Sample size
# 20