[BioC] EdgeR gof plot below line

Gordon K Smyth smyth at wehi.EDU.AU
Wed Oct 10 03:29:33 CEST 2012

Dear Thomas,

You could have created the same plot more simply by

   gof(fit, plot=TRUE)

Your plot looks as if the dispersion estimates entered to glmFit were 
systematically too big.

This could arise, for example, if your counts are less dispersed than 
Poisson, because edgeR can't estimate dispersions to be less than zero. 
This of course would suggest a problem with the source of your data.

With more usual data, it is very hard to imagine how correct use of edgeR 
could lead to a gof plot like you attach.

Best wishes

On Tue, 9 Oct 2012, Thomas Frederick Willems wrote:

> Recently, I've run into another issue and I was curious whether this 
> might have to do with poor dispersion estimates. In particular, I 
> created a Q-Q plot using the following commands,
>   g <- gof(fit)
>   z <- zscoreGamma(g$gof.statistics,shape=g$df/2,scale=2)
>   qqnorm(z)
>   abline(0, 1)
> In this case, fit corresponds to the output of glmFit run using the 
> tagWise dispersion estimates. In the Q-Q plot (which I've attached), the 
> sample quantile lies systematically below the theoretical quantile. Is 
> this possibly due to a poor dispersion estimate, or if not, what else 
> could it arise from?
> Thanks as always for the help
> Thomas

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