Description Usage Arguments Details Value Author(s) Source Examples
NormalizeData: Normalize Log R Ratio (LRR).
1 2 | NormalizeData(Sample = Sample, ExpectedMean = 0, penalty = 60,
Quantile = FALSE, QSpline = FALSE, sd = 0.18, ReCenter = FALSE)
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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. |
Specifically designed to handle noisy data from amplified DNA on phenylketonuria (PKU) cards. The function is a pipeline using many subfunctions.
LRR normalized.
Marcelo Bertalan, Louise K. Hoeffding.
1 | Unknown.
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