rnaseq_sim {BatchQC} | R Documentation

## Generate simulated count data with batch effects for ngenes

### Description

Generate simulated count data with batch effects for ngenes

### Usage

    rnaseq_sim(ngenes = 50, nbatch = 3, ncond = 2, npercond = 10,
      basemean = 10000, ggstep = 50, bbstep = 2000, ccstep = 800,
      basedisp = 100, bdispstep = 10, swvar = 1000, seed = 1000)

### Arguments

`ngenes` | Number of genes to simulate
`nbatch` | Number of batches to simulate
`ncond` | Number of conditions to simulate
`npercond` | Number of samples per condition per batch to simulate
`basemean` | Base mean
`ggstep` | Gene to Gene step variation
`bbstep` | Batch to Batch step variation
`ccstep` | Condition to Condition step variation
`basedisp` | Base Dispersion
`bdispstep` | Batch to Batch Dispersion step variation
`swvar` | Sample-wise extra variation
`seed` | Random seed for reproducibility

### Value

RNA Seq count data matrix

### Examples

    rnaseq_sim()
    rnaseq_sim(ngenes=100, nbatch=5, seed=1234)
    rnaseq_sim(ngenes=100, nbatch=3, ncond=2, npercond=10, basemean=10000,
        ggstep=50, bbstep=20000, ccstep=8000, basedisp=100, bdispstep=10,
        swvar=1000, seed=1234)

[Package BatchQC version 1.8.1 Index]