quantileNormalize-methods {HELP} | R Documentation

## Quantile normalization (methods)

### Description

Methods for applying quantile normalization to multiple bins of data, divided by a sliding window approach

### Methods

x = "missing", y = "missing"
  Handle empty function call
x = "matrix", y = "missing"
  Handle matrix input, reinterpret function call with two vector input if matrix has two columns, otherwise handle as empty function call
x = "vector", y = "missing"
  Handle empty function call
x = "vector", y = "ExpressionSet"
  Handle input of an object of class `ExpressionSet`. Derive binning information from this class but use data from a vector input.
x = "vector", y = "vector"
  Handle input of two vectors specifying data and binning information, respectively.
x = "ExpressionSet", y = "missing"
  Handle input of an object of class `ExpressionSet`. Derive both data and binning information from a single object.
x = "ExpressionSet", y = "vector"
  Handle input of an object of class `ExpressionSet`. Derive data from this class but use binning information from a vector input.
x = "ExpressionSet", y = "ExpressionSet"
  Handle input of two objects of class `ExpressionSet`. Derive data and binning information from each one, respectively.

### Author(s)

Reid F. Thompson (rthompso@aecom.yu.edu)

### See Also

`quantileNormalize`

[Package HELP version 1.0.0 Index]