I was wondering how you would generate data from a Poisson regression equation in R? I'm kind of confused how to approach the problem.
So if I assume we have two predictors $X_1$ and $X_2$ which are distributed $N(0,1)$. And the intercept is 0 and both of the coefficients equal 1. Then my estimate is simply:
$$\log(Y) = 0+ 1\cdot X_1 + 1\cdot X_2$$
But once I have calculated log(Y) - how do I generate poisson counts based on that? What is the rate parameter for the Poisson distribution?
If anyone could write a brief R script that generates Poisson regression samples that would be awesome!