[R] Inverse Gaussian Distribution

[Louisa]

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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