runDiffVarAnalysis {MEAL} | R Documentation

## Run differential variance analysis

### Description

Run differential variance analysis. This analysis can only be run with categorical variables. This function relies on `varFit` from missMethyl package.

### Usage

    runDiffVarAnalysis(
      set,
      model,
      coefficient = NULL,
      resultSet = TRUE,
      betas = TRUE,
      warnings = TRUE,
      ...
    )

### Arguments

`set` | Matrix, `GenomicRatioSet`, `SummarizedExperiment` or `ExpressionSet`.
`model` | Model matrix or formula to get model matrix from `set`.
`coefficient` | Numeric with the coefficients used to make the groups. If NULL, all possible groups will be computed.
`resultSet` | Should results be encapsulated in a `resultSet`? (Default: TRUE)
`betas` | If `set` is a `GenomicRatioSet`, should beta values be used? (Default: TRUE)
`warnings` | Should warnings be displayed? (Default:TRUE)
`...` | Further arguments passed to `varFit`.

### Value

`MArrayLM` or `resultSet` with the result of the differential variance analysis.

### Examples

    if (require(minfiData)){
     mvalues <- getM(MsetEx)[1:100, ]
     model <- model.matrix(~ Sample_Group, data = pData(MsetEx))
     res <- runDiffVarAnalysis(mvalues, model)
     res
    }

[Package MEAL version 1.22.0 Index]