| pi.var | R Documentation |
Computes a two-sided or one-sided prediction limit for the estimated variance in a future study for a planned sample size of n. The prediction limit uses a variance estimate from a prior study of size n0.
Several confidence interval sample size functions in this package require a planning value of the expected sample variance in the planned study. A one-sided upper variance prediction limit is useful as a variance planning value for a conservatively large sample size required to obtain a confidence interval with desired width. This strategy for specifying a variance planning value is useful in applications where the population variance in the prior study is assumed to be very similar to the population variance in the planned study.
For more details, see Section 1.31 of Bonett (2021, Volume 1)
pi.var(alpha, var, n0, n, type)
alpha |
alpha value for upper 1-alpha confidence |
var |
estimated variance from prior study |
n0 |
sample size used to estimate the variance |
n |
planned sample size of future study |
type |
|
Returns two-sided or one-sided prediction limit(s) of an estimate variance in a future study
Hahn1972statpsych
\insertRefBonett2021statpsych
pi.var(.05, 15, 40, 100, 2)
# Should return:
# UL
# 23.9724
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