normLoess: Normalization by loess method
In sights: Statistics and dIagnostic Graphs for HTS

Description Usage Arguments Details Value Note References See Also Examples

Apply loess normalization to data

1 2	normLoess(dataMatrix, plateRows, plateCols, dataRows = NULL, dataCols = NULL)

`dataMatrix`	Data frame or numeric matrix. Columns are plates, and rows are plate wells.
`plateRows, plateCols`	Number of rows/columns in plate.
`dataRows, dataCols`	Optional integer vector. Indicate which row/column numbers from the dataMatrix should be normalized. If NULL then all rows/columns from the dataMatrix are used.

Loess normalization adjusts each well by the fitted row and column values generated by calculating the loess curve for each row and column.

Numeric matrix of normalized data in the same format as dataMatrix

For information on how to arrange your dataset for dataMatrix, please see (ex_dataMatrix)

Baryshnikova et al. (2010). Quantitative analysis of fitness and genetic interactions in yeast on a genome scale. Nature Methods, 7(12), 1017-1024.

Other normalization methods: normMedFil, normRobZ, normR, normSPAWN, normZ

## load dataset
data(ex_dataMatrix)

## apply Loess method
ex_normMatrix <- normLoess(dataMatrix = ex_dataMatrix, dataCols = 5:10,
plateRows = 8, plateCols = 10)