simeans.binormal: Simulate Bivariate Normal Means

In asd: Simulations for Adaptive Seamless Designs

Description

Simulates bivariate normal means; for use with asd.sim and gasd.sim in ASD.

Usage

simeans.binormal(n = n, means = means, vars = vars, corr = corr)

Arguments

n	Number of records used to calculate means
means	Vector of expected means for two samples
vars	Vector of expected variances for two samples
corr	Correlation between two samples

Details

Uses function rmvnorm from package mvtnorm to generate means from correlated normal variates.

Value

samp1	Mean of sample 1
samp2	Mean of sample 2

Author(s)

Nick Parsons ([e-mail])

See Also

treatsel.sim, dunnett.test, hyp.test, select.rule, combn.test

Examples

# need to load mvtnorm
library(mvtnorm)

# generate data
set.seed(1234)
simeans.binormal(n=10,means=c(2,3),vars=c(1,5),corr=0.5)

asd documentation built on May 2, 2019, 3:35 p.m.