weightForPFS: weightForPFS Compute the weighting for the polyfunctionality...

In RGLab/flowReMix: Generalized Linear Modeling of FCM Data With Clustered Coefficients

Description

weightForPFS Compute the weighting for the polyfunctionality score for each type of subset.

Usage

weightForPFS(x, M = NULL, parsefun = degreeFromStringFun, split = "\\+")

Arguments

x	flowReMix fit object
M	numeric the max possible functionality. Uses max(degree) if not provided.
parsefun	function to parse the degree from a cell subset name. Defaults to degreeFromStringFun in the package.
split	character used to split the functionality and extract the degree.

Details

Computes the weight for the polyfunctionality score calculation. The weight is choose(M,k) where k is the degree of a subset and M is the max(degree) or the number of markers.

Value

numeric vector of weights.

See Also

flowReMixPFS degreeFromStringFun

Examples

data(fit505)
weightForPFS(fit505)

RGLab/flowReMix documentation built on May 8, 2019, 5:55 a.m.