maxKSp: classify densities by maximum KS p-value
In edd: expression density diagnostics

compares a sample to reference distributions, identifying the closest reference by maximum KS p

1	maxKSp( x, is.centered=TRUE, dists=eddDistList, thresh=.1 )

`x`	matrix of samples, distributions to be classified by row
`is.centered`	have data been brought to median 0, mad 1
`dists`	list of instances of class eddDist
`thresh`	p-value above which some test must lie, or else 'outlier' is declared

a vector of classifications

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X <- rbind( rnorm(30), runif(30), rchisq(30,1))
tX <- t(apply(X,1,centerScale))
apply(tX,1,maxKSp)

edd documentation built on May 2, 2019, 6:10 p.m.

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