[R] Inverse Gaussian Distribution
dwinsemius at comcast.net
Tue Jan 4 14:52:46 CET 2011
On Jan 4, 2011, at 7:50 AM, Louisa wrote:
> 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,
Of course, but may I point out that you did no earlier say that you
may have attached a dataframe containing "area". There are many
confusing situations that arise when using attached dataframes and
this may be one of them. Many experienced R users avoid attaching data
objects like the plague.
> or are you doing so when you run
>> area <- factor(area, levels=c("C", "A","B","D","E","F") )
> 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") ) )
Is there any reason that you suspect this will not work? Why not try
it ... now assumimg that you failed to tell us that area was a column
in a dataframe that is. (One set of parentheses appear extraneous.)
data <-transform(data, area = factor(area, levels=c("C",
(Untested in the absence of reproducible example ,,, but it looks as
though it might work.)
> I'll be very grateful for any help you can provide!
> Kind regards,
> View this message in context: http://r.789695.n4.nabble.com/Inverse-Gaussian-Distribution-tp3172533p3173468.html
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> and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
West Hartford, CT
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