batchQC_shapeVariation {BatchQC} | R Documentation

## Perform Mean and Variance batch variation analysis

### Description

Perform Mean and Variance batch variation analysis

### Usage

    batchQC_shapeVariation(data, groups, plot = FALSE, groupCol = NULL,
      robustSample = FALSE, robustGene = FALSE)

### Arguments

`data` | Given data
`groups` | a character vector indicating sample group membership
`plot` | Indicate whether to generate plot
`groupCol` | group color
`robustSample` | Indicate whether to use robust sample-wise test
`robustGene` | Indicate whether to use robust gene-wise test

### Value

Mean and Variance batch variation Overall and Pairwise p-values

### Examples

    nbatch <- 3
    ncond <- 2
    npercond <- 10
    data.matrix <- rnaseq_sim(ngenes=50, nbatch=nbatch, ncond=ncond, npercond=
        npercond, basemean=10000, ggstep=50, bbstep=2000, ccstep=800,
        basedisp=100, bdispstep=-10, swvar=1000, seed=1234)
    batch <- rep(1:nbatch, each=ncond*npercond)
    batchQC_shapeVariation(data.matrix, groups=batch)

[Package BatchQC version 1.6.1 Index]