verify.ss.aipe.R2 {MBESS} | 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 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 |
spedify 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
recomended.
Returns the exact (provided G
is large enough) sample size necessary to satisfy the
condidtions specified.
Ken Kelley (University of Notre Dame; KKelley@ND.Edu)