tableLevelsVsLayerByMAF: table category frequency information by MAF
In adibender/rFtools: Tools for the analysis of Random Forests (and cforest)

Description Usage Arguments Details Value See Also

Given a CategoryFrequenciesForest-object this function returns tabled information on how often 1-, 2- and 3-categorical variables are in the different layers stratified by MAF.

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tableLevelsVsLayerByMAF(cF, rF, 
	mafIntervals = list(maf0.05 = 1:50, maf0.10 = 51:100, 
	maf0.25 = 101:150, maf0.40 = 151:200))

`cF`	An `CategoryFrequenciesForest`-object as returned by `getCategoryFrequenciesForest`.
`rF`	An `randomForest`-object as returned by `randomForest`.
`mafIntervals`	A `list` with each element giving the indices of variables being simulated with the according MAF. Depends on how the data was simulated in `simulateSNPdata`.

This function splits the data set by MAF as indicated in mafIntervals and calls tableLevelsVsLayer which in turn calls the Rcpp/C++ function of the same name.

A list of same length as mafIntervals. Each element contains tabled information for one MAF agglomerated over the whole forest as returned by tableLevelsVsLayer.

tableLevelsVsLayer, getCategoryFrequenciesForest

adibender/rFtools documentation built on May 14, 2019, 5:13 a.m.