pi.cor | R Documentation |
Computes approximate one-sided or two-sided prediction limits for the estimated Pearson correlation in a future study with a planned sample size of n. The prediction interval uses a correlation estimate from a prior study that had a sample size of n0.
Several confidence interval sample size functions in this package require a planning value of the estimated Pearson correlation that is expected in the planned study. A one-sided lower correlation prediction limit is useful as a correlation planning value for the sample size required to obtain a confidence interval with desired width. This strategy for specifying a correlation planning value is useful in applications where the population correlation in the prior study is assumed to be very similar to the population correlation in the planned study.
pi.cor(alpha, cor, n0, n, type)
alpha |
alpha value for 1-alpha confidence |
cor |
estimated Pearson correlation from prior study |
n0 |
sample size used to estimate correlation in prior study |
n |
planned sample size of future study |
type |
|
Returns one-sided or two-sided prediction limits of an estimated Pearson correlation in a future study
pi.cor(.1, .761, 50, 100, 1)
# Should return:
# LL UL
# 0.6034092 0.8573224
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.