View source: R/verify.ss.aipe.R2.R
| verify.ss.aipe.R2 | R Documentation | 
Internal function called upon by ss.aipe.R2 when verify.ss=TRUE. This function then calls 
upon ss.aipe.R2.sensitivity for the simulation study.
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, ...)
| 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  | 
| Random.Predictors | whether or not the predictor variables are random (set to  | 
| which.width | defines the width that  | 
| p | the number of predictor variables | 
| n | starting sample size (i.e., from  | 
| 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 | 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 | 
This function is internal to MBESS and is called upon when verify.ss=TRUE in
the ss.aipe.R2 function. Although users can use verify.ss.aipe.R2 directly, it is not 
recommended.
Returns the exact (provided G is large enough) sample size necessary to satisfy the 
conditions specified.
Ken Kelley (University of Notre Dame; KKelley@ND.Edu)
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