You have a conceptual problem, as pointed out by previous helpers.
You don't have a standard error for the first level of your categorical
variable because that level's effect is not estimated.
It is being used as a reference level against which the other levels of that
categorical variable are b
On Mar 13, 2012, at 9:38 AM, D_Tomas wrote:
Dear userRs,
when applied the summary function to a glm fit (e.g Poisson) the
parameter
table provides the categorical variables assuming that the first level
estimate (in alphabetical order) is 0.
Not really. It returns an estimate for the cont
Hi,
See inline.
On Tue, Mar 13, 2012 at 6:38 AM, D_Tomas wrote:
> Dear userRs,
>
> when applied the summary function to a glm fit (e.g Poisson) the parameter
> table provides the categorical variables assuming that the first level
> estimate (in alphabetical order) is 0.
>
> What is the standard
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