spkPot: Probability of being in the Top
In spkTools: Methods for Spike-in Arrays

Compute the probability that a spike-in with a nominal fold change of 2 appears in the the top 0.5% (default) of log-ratios.

1	spkPot(object, spkSlopeOut, sig, SD, precisionQuantile)

`object`	a SpikeInExpressionSet object
`spkSlopeOut`	the output from the spkSlope function
`sig`	the signal detect slopes from a call to spkSlope
`SD`	the standard deviation from spkAccSD
`precisionQuantile`	the desired quantile to compute the probability of being above

A vector of probabilities for each ALE strata.

Matthew N. McCall

data(affy)
affySlope <- spkSlope(affy)
affyAccSD <- spkAccSD(affy, affySlope)
spkPot(affy, affySlope, affySlope$slopes, affyAccSD, .995)

spkTools documentation built on Nov. 8, 2020, 6:55 p.m.

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spkTools: Spike-in Data Analysis and Visualization

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