Because you have 16 variables but only 10 observations.
David
On Mon, Jun 15, 2009 at 12:09, poleteiep34 <poleteie...@hotmail.com> wrote:
> Hi all!
> Maybe someone could help me with the following. I know this hasn't directly
> to do with ecology but I'm also using glm.
>
> I have a list of 16 genes and 10 samples. The samples are of two types, 4
> Ctrl and 6 Diseased. If,
>
> labelInd<-as.factor(c(rep("0",4),rep("1",6)))
> genes.glm<-glm(labelInd ~ ., family=binomial, data=mat)
>
>
> beeing "mat" the 10x16 matrix (without NAs), I got 17 values, first the
> intercept, 9 numerical values and "NA" for the last 7 genes. Does anybody
> you know why this is happening or how I can model using the 16 genes?
>
> I hope anyone could help me with this!
> Many thanks in advance,
>
> Paul
>
>
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>
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