Trendtwosub (version 0.0.2)

pow.ana.gen.decision: pow.ana.gen.decision function

Description

This function evaluates the type I error of the proposed test.

Usage

pow.ana.gen.decision(mean.prob1, mean.prob2, effn.subsam1, effn.subsam2,
  N.rep = 10^1, boot.rep = 10^1, rseed = 1234, alpha.level = 0.05)

Arguments

mean.prob1,

the probability that observations of a subsample is less than the ones from another subsample, in sample #1.

mean.prob2,

the probability that observations of a subsample is less than the ones from another subsample, in sample #2.

effn.subsam1

the subsample sizes from sample 1.

effn.subsam2

the subsample sizes from sample 2.

N.rep

the total number of bootstrap repetitions needed for calculating type I errors.

boot.rep

the number of repetitions needed to calculated simulated p-value,

rseed

a random seed.

alpha.level

the type I error level that will be assessed.

Value

the simulated type I error.

References

Wang, Y., Stapleton, A. E., & Chen, C. (2018). Two-sample nonparametric stochastic order inference with an application in plant physiology. Journal of Statistical Computation and Simulation, 88(14), 2668-2683.

Examples

# NOT RUN {
prob.vec<-c(.4,.2,.3,.6);
sub.sizes1<-c(2,4,3,5,3);sub.sizes2<-c(6,3,2,4,2)
pow.ana.gen.decision(prob.vec,prob.vec,sub.sizes1, sub.sizes1)
pow.ana.gen.decision(prob.vec,prob.vec,sub.sizes1, sub.sizes1,alpha.level=0.1)
# }