pi.r.demo

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

rep.n

All samples are drawn from a common population. This specifies the population correlation.

Indicate the number of pairs of sample (original, replication) that should be used. 10,000 or higher suggested for stable results.

number.trials

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

prob.level

Apply bias correction formula to d-values.

bias.correction


Simulation to demonstrate the meaning of the correlation prediction interval


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.demo: Simulation to demonstrate the meaning of the correlation prediction interval

Description

Usage

Arguments

Value

Examples