normalizeData: Normalize Datasets

Description Usage Arguments Value Examples

View source: R/normalizeData.R

Description

After running aggregate, bscore or MARS augmentation functions, this function can be used for centering and scaling data.

Usage

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Arguments

x

The Data object of interest.

select

A vector of regular expressions for selecting features to normalize.

drop

A vector of regular expressions for dropping some of the previously matched features.

values

The type of features to normalize.

center

NULL of the type of features to use for centering.

scale

NULL of the type of features to use for scaling

features

For internal use only.

Value

A Data object of input type with normalized features added.

Examples

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data <- PlateData(PlateLocation("J101-2C"))
data <- augmentImageLocation(data)
data <- augmentCordinateFeatures(data, ellipse=1, facet=NULL,
                                 center.dist=FALSE, density=FALSE)
data <- augmentBscore(data)
data <- augmentMars(data)

data <- augmentAggregate(data, features="_MARSed$", level="plate",
                         func.aggr="median")
data <- augmentAggregate(data, features="_MARSed$", level="well",
                         neighbors=TRUE,  func.aggr="mad")
data <- normalizeData(data)

nbenn/singleCellFeatures documentation built on May 23, 2017, 11:31 a.m.