Description Usage Arguments Details Value Functions Author(s)
Calculate various quality control measures on binned read counts.
1 2 3 4 5 6 7  qc.spikiness(counts)
qc.entropy(counts)
qc.bhattacharyya(hmm)
qc.sos(hmm)

counts 
A vector of binned read counts. 
hmm 
An 
The Shannon entropy is defined as
S =  sum( n * log(n) ), where n = counts/sum(counts).
Spikyness is defined as K = sum(abs(diff(counts))) / sum(counts).
A numeric.
qc.spikiness
: Calculate the spikiness of a library
qc.entropy
: Calculate the Shannon entropy of a library
qc.bhattacharyya
: Calculate the Bhattacharyya distance between the '1somy' and '2somy' distribution
qc.sos
: Sumofsquares distance from the read counts to the fitted distributions
Aaron Taudt
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