pi.r

(optional) Replication study: Sample size. If not specified, n is used.

rep.n

(optional 0 to 1 value) Probability level desired (0 to 1). If not specified .95 (i.e., 95 percent) will be used.

prob.level

A common problem faced by journal reviewers and authors is the question of
whether the results of a replication study are consistent with the original
published study. One solution to this problem is to examine the effect size
from the original study and generate the range of effect sizes that could
reasonably be obtained (due to random sampling) in a replication attempt
(i.e., calculate a prediction interval). This package has functions that calculate
the prediction interval for the correlation (i.e., r),
standardized mean difference (i.e., d-value), and mean.

pi.r: Correlation prediction interval

Description

Usage

Arguments

Value

Examples