Hi,
I'm just learning about poison links for the glm function.
One of the data sets I'm playing with has several of the variables as
factors (i.e. month, group, etc.)
When I call the glm function with a formula that has a factor variable,
R automatically converts the variable to a series of variables with
unique names and binary values.
For example, with this pseudo data:
y v1 month
2 1 january
3 1.4 februrary
1.5 6.3 february
1.2 4.5 january
5.5 4.0 march
I use this call:
m <- glm(y ~ v1 + month, family="poisson")
R gives me back a model with variables of
Intercept
v1
monthJanuary
monthFebruary
monthMarch
I'm concerned that this might be doing some strange things to my model.
Can anyone offer some enlightenment?
Thanks!
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