So here is some information that I hope gets criticized by the
higher-intelligences that posted on this topic. Beware that I'm not a
statistician and I'm just saying about what I think is correct.
First, before fitting any model, check the distribution of your data, in
some cases a simple anova i
Peter Dalgaard wrote:
...
That'll be anti-hist()-amine, I presume?
I would think p-necillin a more appropriate treatment.
Jim
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on 06/12/2008 09:37 AM Peter Dalgaard wrote:
Simon Blomberg wrote:
Good points Ben. For now I'd recommend simply that the allergic
reaction to insignificant statistical tests be treated with an
antihistamine :-)
A vote for Frank's comment to be added to the 'fortunes' package.
S
Simon Blomberg wrote:
>>> Good points Ben. For now I'd recommend simply that the allergic
>>> reaction to insignificant statistical tests be treated with an
>>> antihistamine :-)
>>>
>> A vote for Frank's comment to be added to the 'fortunes' package.
>>
>>
> Seconded! :-)
>
>
Tha
> > Good points Ben. For now I'd recommend simply that the allergic
> > reaction to insignificant statistical tests be treated with an
> > antihistamine :-)
>
>
> A vote for Frank's comment to be added to the 'fortunes' package.
>
Seconded! :-)
> :-)
>
> Regards,
>
> Marc
>
> ___
on 06/11/2008 05:53 PM Frank E Harrell Jr wrote:
Ben Bolker wrote:
Lucke, Joseph F uth.tmc.edu> writes:
And to follow FH and HW
What level of significance are you using? .05 is excessively liberal.
Are you adjusting your p-values for the number of possible models? Do
you realize the p-values
Ben Bolker wrote:
Lucke, Joseph F uth.tmc.edu> writes:
And to follow FH and HW
What level of significance are you using? .05 is excessively liberal.
Are you adjusting your p-values for the number of possible models? Do
you realize the p-values for dropping a term, being selected as the
maximu
Lucke, Joseph F uth.tmc.edu> writes:
>
> And to follow FH and HW
>
> What level of significance are you using? .05 is excessively liberal.
> Are you adjusting your p-values for the number of possible models? Do
> you realize the p-values for dropping a term, being selected as the
> maximum of a
AM
To: Frank E Harrell Jr
Cc: r-help@r-project.org; ChCh
Subject: Re: [R] model simplification using Crawley as a guide
On Wed, Jun 11, 2008 at 6:42 AM, Frank E Harrell Jr
<[EMAIL PROTECTED]> wrote:
> ChCh wrote:
>>
>> Hello,
>>
>> I have consciously avoided us
On Wed, Jun 11, 2008 at 6:42 AM, Frank E Harrell Jr
<[EMAIL PROTECTED]> wrote:
> ChCh wrote:
>>
>> Hello,
>>
>> I have consciously avoided using step() for model simplification in favour
>> of manually updating the model by removing non-significant terms one at a
>> time. I'm using The R Book by M
ChCh wrote:
Hello,
I have consciously avoided using step() for model simplification in favour
of manually updating the model by removing non-significant terms one at a
time. I'm using The R Book by M.J. Crawley as a guide. It comes as no
surprise that my analysis does proceed as smoothly as doe
ChCh wrote:
> Hello,
>
> I have consciously avoided using step() for model simplification in favour
> of manually updating the model by removing non-significant terms one at a
> time. I'm using The R Book by M.J. Crawley as a guide. It comes as no
> surprise that my analysis does proceed as smooth
Hello,
I have consciously avoided using step() for model simplification in favour
of manually updating the model by removing non-significant terms one at a
time. I'm using The R Book by M.J. Crawley as a guide. It comes as no
surprise that my analysis does proceed as smoothly as does Crawley's a
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