NormalizeData: NormalizeData

Description Usage Arguments Details Value Author(s) Source Examples

Description

NormalizeData: Normalize Log R Ratio (LRR).

Usage

1
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NormalizeData(Sample = Sample, ExpectedMean = 0, penalty = 60,
  Quantile = FALSE, QSpline = FALSE, sd = 0.18, ReCenter = FALSE)

Arguments

Sample:

Unknown, default = Unknown.

ExpectedMean:

Unknown, default = 0.

Penalty:

The coefficient of the penalty for degrees of freedom, default = 60.

Quantile:

Logical, if quantile normalization should be applied or not, default = FALSE.

QSpline:

Logical, if a cubic smoothing spline should be used to normalize the data, default = FALSE.

Sd:

Numeric, LRR standard deviation for the quantile normarlization, default = 0.18.

ReCenter:

Re-center LRR mean to be zero.

Details

Specifically designed to handle noisy data from amplified DNA on phenylketonuria (PKU) cards. The function is a pipeline using many subfunctions.

Value

LRR normalized.

Author(s)

Marcelo Bertalan, Louise K. Hoeffding.

Source

http://biopsych.dk/iPsychCNV

Examples

1
Unknown.

mbertalan/iPsychCNV documentation built on May 22, 2019, 12:19 p.m.