simData
simulates a RT-PCR miRNA dataset with user defined levels of variability and treatment effect size.
1 2 3 4 | 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)
|
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 |
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