[R] glm - rgamma vector as predictor

[Wim Kreinen]

 I have a strange question concerning the fit of a Gamma generalized linear
model with glm (and further using gamma.shape to measure the shape
parameter).

Actually, I started with rgamma to generate some random vectors because I
wanted to play around with various conditions (and become familiar with
gamma shape). But before you can start with gamma shape you need to have a
glm object.

Assuming

gamma.random <- rgamma (1000,1.5)

is my random vector.

How do I create a glm object if I only have one vector? I guess, my random
vector is the predictor and the response is the probability (in the sense
of a pdf). Can anybody give me a hint how the syntax is?

glm (? ~ gamma.random, family=Gamma)

Thanks Wim

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