2016 5:31 a.m.
To: Murray Efford
Cc: r-help@r-project.org; Martin Maechler; peter dalgaard
Subject: Re: [R] R.squared in summary.lm with weights
> On Apr 10, 2016, at 9:38 AM, David Winsemius wrote:
>
>>
>> On Apr 10, 2016, at 3:11 AM, Murray Efford wrote:
>>
>> Martin -
&
pics does seem to complicate that process. I counted
9 packages with PRESS functions even after excluding the ones related to "the
Press" and "protein residues" when I did a search with:
sos::findFn("PRESS")
--
David.
>
> --
>
> David.
>
&g
t;
>
> From: Martin Maechler
> Sent: Sunday, 10 April 2016 4:07 a.m.
> To: Murray Efford
> Cc: peter dalgaard; Duncan Murdoch; r-help@r-project.org
> Subject: Re: [R] R.squared in summary.lm with weights
>
>>>>>> Murra
_
From: Martin Maechler
Sent: Sunday, 10 April 2016 4:07 a.m.
To: Murray Efford
Cc: peter dalgaard; Duncan Murdoch; r-help@r-project.org
Subject: Re: [R] R.squared in summary.lm with weights
>>>>> Murray Efford
>>>>> on Fri, 8 Apr 2016 18:45:33 + w
> Murray Efford
> on Fri, 8 Apr 2016 18:45:33 + writes:
> Thanks for these perfectly consistent replies - I didn't
> understand the purpose of m = sum(w * f/sum(w)) and saw it
> merely as a weighted average of the fitted values. My
> ultimate concern is how to com
To: Duncan Murdoch
Cc: Murray Efford; r-help@r-project.org
Subject: Re: [R] R.squared in summary.lm with weights
On 08 Apr 2016, at 12:57 , Duncan Murdoch wrote:
> On 07/04/2016 5:21 PM, Murray Efford wrote:
>> Following some old advice on this list, I have been reading the code for
>>
On 08 Apr 2016, at 12:57 , Duncan Murdoch wrote:
> On 07/04/2016 5:21 PM, Murray Efford wrote:
>> Following some old advice on this list, I have been reading the code for
>> summary.lm to understand the computation of R-squared from a weighted
>> regression. Usually weights in lm are applied t
On 07/04/2016 5:21 PM, Murray Efford wrote:
Following some old advice on this list, I have been reading the code for
summary.lm to understand the computation of R-squared from a weighted
regression. Usually weights in lm are applied to squared residuals, but I see
that the weighted mean of the
hd625b
Sent: Friday, 8 April 2016 9:51 a.m.
To: r-help@r-project.org
Subject: Re: [R] R.squared in summary.lm with weights
Do you mean w <- z$residuals ?
Type names(z) to see the list of item in your model.
I ran your code on a lm and it work fine.
You don't need the brackets ar
Do you mean w <- z$residuals ?
Type names(z) to see the list of item in your model.
I ran your code on a lm and it work fine.
You don't need the brackets around mss <-
Michael Long
On 04/07/2016 02:21 PM, Murray Efford wrote:
Following some old advice on this list, I have been reading the c
Following some old advice on this list, I have been reading the code for
summary.lm to understand the computation of R-squared from a weighted
regression. Usually weights in lm are applied to squared residuals, but I see
that the weighted mean of the observations is calculated as if the weights
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