simotu.diri40: Simulation data with Gaussian distribution

In yewei369/clotu: Classification of OTUs

Description

Generate simulation data with Dirichlet distribution

Usage

simotu.diri40(
  n,
  p = 693,
  t = 3,
  ref = c(1, 214, 490, 512, 513),
  seed = F,
  unif.min = 0,
  unif.max = 0.35
)

Arguments

n,	sample size for each target
p,	number of OTUs
t,	number of targets
ref,	index of reference OTUs
seed,	index of the seed, if F (default) no seed is set
unif.min,	min limit of Uniform dist for non-zero probability
unif.max,	max limit of Uniform dist for non-zero probability

Value

a list of OTU table and meta information

Examples

simotu.diri40(36,p=693,t=3,ref=c(1,214,490,512,513),seed=1234,unif.min=0.9,unif.max=0.95)

yewei369/clotu documentation built on Dec. 23, 2021, 7:19 p.m.