plot_simulation_sample {BioTIP} | R Documentation

## calculating Ic scores based on simulated samples

### Description

simulate `x` samples `B` times to calculate the Ic score, where x should be the same as the length of identified BioTiP and B is self-defined.

### Usage

    plot_simulation_sample(counts, sampleNo, Ic, genes, B = 1000,
      main = "simulation of samples")

### Arguments

`counts` | A numeric matrix or data frame. The rows and columns represent unique transcript IDs (geneID) and sample names, respectively.
`sampleNo` | An integer of sample size of the tipping point
`Ic` | A numeric value. Ic score of identified BioTiP
`genes` | A character vector of identified BioTiP unique ids
`B` | An integer indicating number of times to run this simulation, default 1000.
`main` | A character vector. The title of the plot. Defualt is NULL.

### Value

Return a density plot of simulated Ic score with p-value

### Author(s)

Zhezhen Wang zhezhen@uchicago.edu

### Examples

    counts = matrix(sample(1:100,27),3,9)
    colnames(counts) = 1:9
    row.names(counts) = c('loci1','loci2','loci3')
    BioTiP = c('loci1','loci2')
    plot_simulation_sample(counts,3,3.4,BioTiP,B=3)

[Package BioTIP version 1.0.0 Index]