pi.r.demo: Simulation to demonstrate the meaning of the correlation...

In dstanley4/predictionInterval: Prediction Interval Functions for Assessing Replication Study Results

Description

Simulation to demonstrate the meaning of the correlation prediction interval

Usage

pi.r.demo(n = 100, rep.n = NA, rho = 0.5, number.trials = 10000,
  prob.level = 0.95, bias.correction = FALSE)

Arguments

n	Original study: Sample size
rep.n	(optional) Replication study: Sample size. If not specified, n is used.
rho	All samples are drawn from a common population. This specifies the population correlation.
number.trials	Indicate the number of pairs of sample (original, replication) that should be used. 10,000 or higher suggested for stable results.
prob.level	(optional 0 to 1 value) Probability level desired (0 to 1). If not specified .95 (i.e., 95 percent) will be used.
bias.correction	Apply bias correction formula to d-values.

Value

The prediction interval capture percentage and related statistics in list format.

Examples

pi.r.demo(n=100,rho=.50,number.trials=10)

dstanley4/predictionInterval documentation built on May 15, 2019, 4:23 p.m.