# NOT RUN {
# Returned sample size should be considered approximate; exact sample
# size is obtained by specifying the argument 'verify.ss=TRUE' (see below).
# ss.aipe.R2(Population.R2=.50, conf.level=.95, width=.10, which.width="Full",
# p=5, Random.Predictors=TRUE)
# Uncomment to run in order to get exact sample size.
# ss.aipe.R2(Population.R2=.50, conf.level=.95, width=.10, which.width="Full",
# p=5, Random.Predictors=TRUE, verify.ss=TRUE)
# Same as above, except the predictor variables are considered fixed.
# Returned sample size should be considered approximate; exact sample
# size is obtained by specifying the argument 'verify.ss=TRUE'.
# ss.aipe.R2(Population.R2=.50, conf.level=.95, width=.10, which.width="Full",
# p=5, Random.Predictors=FALSE)
# Uncomment to run in order to get exact sample size.
#ss.aipe.R2(Population.R2=.50, conf.level=.95, width=.10, which.width="Full",
#p=5, Random.Predictors=FALSE, verify.ss=TRUE)
# Returned sample size should be considered approximate; exact sample
# size is obtained by specifying the argument 'verify.ss=TRUE'.
# ss.aipe.R2(Population.R2=.50, conf.level=.95, width=.10, which.width="Full",
# p=5, degree.of.certainty=.85, Random.Predictors=TRUE)
# Uncomment to run in order to get exact sample size.
#ss.aipe.R2(Population.R2=.50, conf.level=.95, width=.10, which.width="Full",
#p=5, degree.of.certainty=.85, Random.Predictors=TRUE, verify.ss=TRUE)
# Same as above, except the predictor variables are considered fixed.
# Returned sample size should be considered approximate; exact sample
# size is obtained by specifying the argument 'verify.ss=TRUE'.
# ss.aipe.R2(Population.R2=.50, conf.level=.95, width=.10, which.width="Full",
# p=5, degree.of.certainty=.85, Random.Predictors=FALSE)
# Uncomment to run in order to get exact sample size.
#ss.aipe.R2(Population.R2=.50, conf.level=.95, width=.10, which.width="Full",
#p=5, degree.of.certainty=.85, Random.Predictors=FALSE, verify.ss=TRUE)
# }
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