simData: Simulating a RT-PCR miRNA dataset.

In MiRAnorm: Adaptive Normalization for miRNA Data

Description

simData simulates a RT-PCR miRNA dataset with user defined levels of variability and treatment effect size.

Usage

simData(n.trt = 50, n.ctrl = 50, n.gene = 96, sigma.error, n.err = 10,
  mean.sample = 0.6, sigma.sample = 0.6, sigma.gene = 0,
  n.big.effect = 5, n.small.effect = 15, mean.big.effect = 5,
  mean.small.effect = 2)

Arguments

n.trt	Number of simulated treatment samples
n.ctrl	Number of simulated control samples
n.gene	Number of simulated genes in the panel
sigma.error	a vector of length 2 for 2 different measurement error sizes (sd).
n.err	number of genes with sigma.error[2]. The rest (n.gene - n.err) have sigma.error[1] measurement error.
mean.sample	the unadjusted mean of the samples. Can generally be left as default
sigma.sample	the unadjusted sample to sample sd. Can generallyb e left as default.
sigma.gene	sd of gene to gene effect sizes for large and small treatment effects.
n.big.effect	Number of genes with large treatment effect
n.small.effect	Number of genes with small treatment effect
mean.big.effect	Average effect size for a "large" treatment effect
mean.small.effect	Average effect size for a "small" treatment effect

MiRAnorm documentation built on May 1, 2019, 7:12 p.m.