;>>> > I was searching for a way to compute robust R-square in R in
>> order
>> to get
>>>> > an
>>>> > information similar to the "Proportion of variation in
>> response(s)
>>>> > explained
>>>
onse(s)
>>> > explained
>>> > by model(s)" computed by S-Plus. This post is dealing with that.
> Would be
>>> > possible to have some hints on how to calculate this parameter
> within R?
>>> >
>>> > Thank you ve
gt; >
>> > Thank you very much in advance.
>> >
>> > Laura Poggio
>> >
>> >
>> >
>>
-
>> > Date: Mon, 20 Oct
gt;
> >
> >
> -------------
> > Date: Mon, 20 Oct 2008 06:15:49 +0100 (BST)
> > From: Prof Brian Ripley <[EMAIL PROTECTED]>
> > Subject: Re: [R] R-square in robust regression
> > To: PARK
> Date: Mon, 20 Oct 2008 06:15:49 +0100 (BST)
> From: Prof Brian Ripley <[EMAIL PROTECTED]>
> Subject: Re: [R] R-square in robust regression
> To: PARKERSO <[EMAIL PROTECTED]>
> Cc: r-help@r-project.org
ter within R?
Thank you very much in advance.
Laura Poggio
-
Date: Mon, 20 Oct 2008 06:15:49 +0100 (BST)
From: Prof Brian Ripley <[EMAIL PROTECTED]>
Subject: Re: [R] R-square in robust regression
To: PARKERSO <[E
On Sun, 19 Oct 2008, PARKERSO wrote:
Hi there,
I have just started using the MASS package in R to run M-estimator robust
regressions. The final output appears to only give coefficients, degrees of
freedom and t-stats. Does anyone know why R doesn't compute R or R-squared
These as only valid f
Hi there,
I have just started using the MASS package in R to run M-estimator robust
regressions. The final output appears to only give coefficients, degrees of
freedom and t-stats. Does anyone know why R doesn't compute R or R-squared
and why doesn't give you any other indices of goodness of fit?
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