removeUninformativeFactors {puma} | R Documentation

## Remove uninformative factors from the phenotype data of an ExpressionSet

### Description

This is really an internal function used to remove uninformative factors from the phenotype data. Uninformative factors here are defined as those which have the same value for all arrays in the `ExpressionSet`.

### Usage

    	removeUninformativeFactors(eset)

### Arguments

`eset` | An object of class `ExpressionSet`.

### Value

An `ExpressionSet` object with the same data as the input, except for a new `phenoData` slot.

### Author(s)

Richard D. Pearson

### See Also

Related methods `createDesignMatrix` and `createContrastMatrix`

### Examples

    	eset_test <- new("ExpressionSet", exprs=matrix(rnorm(400,8,2),100,4))
    	pData(eset_test) <- data.frame("informativeFactor"=c("A", "A", "B", "B"), "uninformativeFactor"=c("X","X","X","X"))
    	eset_test2 <- removeUninformativeFactors(eset_test)
    	pData(eset_test)
    	pData(eset_test2)

[Package puma version 3.26.0 Index]