Usage
verify.ss.aipe.R2(Population.R2 = NULL, conf.level = 0.95, width = NULL,
Random.Predictors = TRUE, which.width = "Full", p = NULL, n = NULL,
degree.of.certainty = NULL, g = 500, G = 10000, print.iter=FALSE, ...)
Arguments
Population.R2
value of the population multiple correlation coefficient
conf.level
confidence interval level (e.g., .95, .99, .90); 1-Type I error rate
width
width of the confidence interval (see which.width)
Random.Predictors
whether or not the predictor variables are random (set to TRUE) or are fixed (set to FALSE)
which.width
defines the width that width refers to
p
the number of predictor variables
n
starting sample size (i.e., from ss.aipe.R2)
degree.of.certainty
value with which confidence can be placed that describes the likelihood of obtaining a confidence interval less than the value specified (e.g., .80, .90, .95)
g
simulations for the preliminary sample size (much smaller than G)
G
number of replications for the actual Monte Carlo simulation (should be large)
print.iter
specify whether or not the internal iterations should be printed
...
additional arguments passed to internal functions