Hello everybody,
I have encountered a problem with the inverse Gaussian distribution. It is very
likely that it will not work regardless of the data input. I have programmed
this regression and it works fine no matter which distribution the response
comes from.
If you run this example (first tri
Dear David,
It works!
Thank you so much for your help!
Louisa
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Thank you again David!
I did not try it yet, cause neither the dataset nor R is on this computer.
I'll try it in a few hours, as soon as possible, when I'm on my personal
computer.
I'll let you know if it works. I'm really curious!
Thank you for your time!
Best Wishes,
Louisa
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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
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 y
Hi:
"How can i manipulate the data to set the baseline of area to C?
R is producing errors when I'm trying to do so."
See ?relevel
Dennis
On Mon, Jan 3, 2011 at 12:03 PM, Louisa wrote:
>
> Dear,
>
> I want to fit an inverse gaussion distribution to a data set.
>
> The predictor variables are
On Jan 3, 2011, at 3:03 PM, Louisa wrote:
Dear,
I want to fit an inverse gaussion distribution to a data set.
The predictor variables are gender, area and agecategory.
For each of these variables I've defined a baseline
e.g.
#agecat: baseline is 3
data<-transform(data, agecat=C(factor(ageca
Dear,
I want to fit an inverse gaussion distribution to a data set.
The predictor variables are gender, area and agecategory.
For each of these variables I've defined a baseline
e.g.
#agecat: baseline is 3
data<-transform(data, agecat=C(factor(agecat,ordered=TRUE),
contr.treatment(n=6,base
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