pi.m.demo: Simulation to demonstrate the meaning of the prediction...

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

Description

Simulation to demonstrate the meaning of the prediction interval for the mean

Usage

pi.m.demo(n = 10, rep.n = NA, mu = 0, sigma = 1,
  number.trials = 10000, prob.level = 0.95, show.all.trials = FALSE)

Arguments

n	Original study: Sample size
rep.n	(optional) Replication study: Sample size. If not specified, n is used.
mu	All samples are drawn from a common population. This specifies the population correlation.
sigma	All samples are drawn from a common population. This specifies the population standard deviation.
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.
show.all.trials	Show original correlation, prediction interval, replication correlation, and whether replication effect is in the interval.

Value

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

Examples

pi.m.demo(n=150,mu=0,sigma=1,number.trials=10)

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