Thanks Bert. I will post it on StatsExchange.

David


2014-07-23 2:08 GMT+08:00 Bert Gunter <gunter.berton@gene.com>:

> Wrong list!
>
> Try stats.stackexchange.com  for statistics questions. This list is
> about R programming related issues.
>
> Also, note that HTML does not work and should not be used here.
>
> Cheers,
> Bert
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
> (650) 467-7374
>
> "Data is not information. Information is not knowledge. And knowledge
> is certainly not wisdom."
> Clifford Stoll
>
>
>
>
> On Tue, Jul 22, 2014 at 10:53 AM, Marino David <davidmarino838@gmail.com>
> wrote:
> > Hi all r-mailling listers:
> >
> > Can anyone explain the theory (or the formula) about computing Sum Sq
> > (color highligh below) related to regression items?  The link of
> Wikipedia (
> > http://en.wikipedia.org/wiki/Partition_of_sums_of_squares) gives an
> > introduction on how to calculate the total, model, and regression sum of
> > squares. Is it similar to the Sum Sq computation? Is the regression sum
> of
> > squares equal to (0.000437+ 0.002545+ 0.060984+ 0.062330+ 0.060480)?
> >
> > Any suggestion will be greatly appreciated.
> >
> > Thank you!
> >
> > David
> >
> > TraingData<-data.frame(
> > x1=c(3.532,2.868,2.868,3.532,2.868,2.536,3.864),
> > x2=c(1.992,1.992,1.328,1.328,1.328,1.66,1.66),
> >
> y=c(9.040330254,8.900894412,8.701929163,9.057944749,8.701929163,8.74317832,9.10859913)
> > )
> > lm.sol<-lm(y~1+x1+x2+I(x1^2)+I(x2^2)+I(x1*x2),data=TraingData)
> > anova(lm.sol)
> >
> > Analysis of Variance Table
> >
> > Response: y
> >                 Df     *Sum Sq*     Mean       Sq F    value Pr(>F)
> > x1              1    0.000437  0.000437    0.1055    0.8001
> > x2              1    0.002545  0.002545    0.6141    0.5768
> > I(x1^2)        1    0.060984  0.060984   14.7162    0.1623
> > I(x2^2)        1    0.062330  0.062330   15.0409    0.1607
> > I(x1 * x2)    1    0.060480  0.060480   14.5945    0.1630
> > Residuals   1    0.004144  0.004144
> >
> >         [[alternative HTML version deleted]]
> >
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> > and provide commented, minimal, self-contained, reproducible code.
>

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