simotu.gaus: Simulation data with Gaussian distribution

In yewei369/clotu: Classification of OTUs

Description

Generate simulation data with Gaussian distribution

Usage

simotu.gaus(
  n,
  p,
  t,
  nref = 3,
  unif.min = 0,
  unif.max = 0.35,
  full.mean = 20000,
  full.sd = 500,
  seed = F
)

Arguments

n,	sample size for each target
p,	number of OTUs
t,	number of targets
nref,	number of reference OTUs
unif.min,	min limit of Uniform dist for non-zero probability
unif.max,	max limit of Uniform dist for non-zero probability
full.mean,	full range of mean value of total counts
full.sd,	full range of standard deviation of total counts
seed,	index of the seed, if F (default) no seed is set

Value

a list of OTU table and meta information

Examples

simotu.gaus(50,700,3,nref=5,full.mean=10000,unif.min=0,unif.max=0.4,seed=1234)

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