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plotBCV(y, xlab="Average log CPM", ylab="Biological coefficient of variation", pch=16, cex=0.2, col.common="red", col.trend="blue", col.tagwise="black", ...)
DGEList
points
plot
BCV.true <- 0.1 y <- DGEList(matrix(rnbinom(6000, size = 1/BCV.true^2, mu = 10),1000,6)) y <- estimateCommonDisp(y) y <- estimateTrendedDisp(y) y <- estimateTagwiseDisp(y) plotBCV(y)
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