size.ci.mean.ps {statpsych} | R Documentation |
Sample size for a paired-samples mean difference confidence interval
Description
Computes the sample size required to estimate a difference in population means with desired confidence interval precision in a paired-samples design. This function requires a planning value for the average of the variances for the two measurements. Set the Pearson correlation planning value to the smallest value within a plausible range for a conservatively large sample size. Set the variance planning value to the largest value within a plausible range for a conservatively large sample size.
Usage
size.ci.mean.ps(alpha, var, cor, w)
Arguments
alpha |
alpha level for 1-alpha confidence |
var |
planning value of average variance of the two measurements |
cor |
planning value of correlation between measurements |
w |
desired confidence interval width |
Value
Returns the required sample size
Examples
size.ci.mean.ps(.05, 265, .8, 10)
# Should return:
# Sample size
# 19
[Package statpsych version 1.6.0 Index]