computeUnivariateTernaryMatrix: Compute the ternary matrix with digitized divergence coding
In wikum/divergence.preSE: Divergence Computations

Description Usage Arguments Value Examples

Function for obtaining the ternary form for a matrix of data given a baseline range

1	computeUnivariateTernaryMatrix(Mat, Baseline)

`Mat`	Matrix of data to be digitized, in [0, 1], with each column corresponding to a sample and each row corresponding to a feature; usually in quantile form.
`Baseline`	A list with a data frame element "Ranges" containing the baseline range of each features; this corresponds to the output of findUnivariateGammaWithSupport() or computeUnivariateSupport()

A matrix with the same dimensions as Mat containing the ternary form data.

baseMat = breastTCGA_Mat[, breastTCGA_Group == "NORMAL"]
baseMat.q = computeQuantileMatrix(baseMat)
baseline = computeUnivariateSupport(Mat=baseMat.q)
dataMat = breastTCGA_Mat[, breastTCGA_Group != "NORMAL"]
dataMat.q = computeQuantileMatrix(dataMat)
divMat = computeUnivariateTernaryMatrix(Mat=dataMat.q, Baseline=baseline)