Mean/Median-balanced quantile normalization


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Documentation for package ‘MBQN’ version 2.17.0

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example_NApattern Missing value pattern dataset
getKminmax Get the k largest/smallest elements
getPvalue Calculates Pitman-Morgan variance test on two matrices
mbqn Mean/Median-balanced quantile normalization
mbqnBoxplot Combined box plot and line plot
mbqnGetIntersect Helper function for mbqnGetThreshold
mbqnGetNRIfeatures Identify rank invariant (RI) and nearly rank invariant (NRI) features
mbqnGetThreshold Calculates the rank invariance threshold from which on MBQN should be used instead of 'classical' QN
mbqnNRI Selective mean/median-balanced quantile normalization
mbqnPlotAll Plot RI/NRI feature frequencies and normalized/unnormalized features
mbqnPlotRI Plot frequency of detected RI/NRI features
mbqnSimuData Generate a random/structured data matrix
mbqnSimuDistortion Perturbation of sample mean and scale
oneSidedTest Recalulate p value from two-sided to one-sided
truncateDecimals Truncate float to defined number of decimal values