PomaNorm {POMA} | R Documentation

## Collection of Normalization Methods for Mass Spectrometry Data

### Description

PomaNorm() offers different methods to normalize MS data. This function contains both centering and scaling functions to normalize the data.

### Usage

    PomaNorm(data, method = "log_pareto", round = 3)

### Arguments

`data` | A MSnSet object. First `pData` column must be the subject group/type.
`method` | Normalization method. Options are: "none", "auto_scaling", "level_scaling", "log_scaling", "log_transformation", "vast_scaling" and "log_pareto".
`round` | Numeric. Number of decimal places (Default is 3).

### Value

A MSnSet object with normalized data.

### Author(s)

Pol Castellano-Escuder

### References

van den Berg, R. A., Hoefsloot, H. C., Westerhuis, J. A., Smilde, A. K., & van der Werf, M. J. (2006). Centering, scaling, and transformations: improving the biological information content of metabolomics data. BMC genomics, 7(1), 142.

### Examples

    data("st000284")

    PomaNorm(st000284, method = "log_pareto")

[Package POMA version 1.2.0 Index]