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.

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