Thank you!
But i'm wondering:
if you run
area <- factor(area, levels=c("C", "A","B","D","E","F") )
then you are transforming only 'area', aren't you?
isn't it possible to transform the whole data like i did for agecat
but now for area and area C as baseline,
or are you doing so when you run
> area <- factor(area, levels=c("C", "A","B","D","E","F") )
> attach(data)
and then run the model with area as predictorvariable:
> model <- glm(Y~ agecat+gender+area,...)
My question is if i can run it as follows and still have a right solution :
> data <-transform(data, area=(factor(area, levels=c("C",
> "A","B","D","E","F") ) )
I'll be very grateful for any help you can provide!
Kind regards,
Louisa
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