Dear list,
I am working on a project of simulating normal distributed data in R.
Would you please show me some coding especially regarding how to do the
circling?
Thanks,
Lily
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Thank you for your help. I just tried "leaps".
However, I still need to know the regression
coefficients for each regression. Seems leaps
doesn't provided the coefficients.
Lily
--- kjetil brinchmann halvorsen <[EMAIL PROTECTED]>
wrote:
> On 31 Aug 2003 at 18:06, Lily
On Sun, 31-Aug-2003 at 06:06PM -0700, Lily wrote:
>
> |> Dear All,
> |>
> |> I would like to perform linear regressions based
> on Y
> |> and all of the combinations of the five
> predictors,
> |>
>
i.e.,(y,x1,x2),(y,x1,x3),,(y,x1,x2,x4,x5),,(y,x1,
Dear All,
I would like to perform linear regressions based on Y
and all of the combinations of the five predictors,
i.e.,(y,x1,x2),(y,x1,x3),,(y,x1,x2,x4,x5),,(y,x1,x2,x3,x4,x5).
Is there any quick way to do it instead of repeat
performing regressions for 31 times? Or, is there
any metho
Seems crossval from library(bootstrap) can only be
used for leave-one-out and k-fold cross validation?
Here is a dumb question, suppose n=80, how to do
exactly leave-50-out cross validation? K-fold cross
validation is not eligible for this case since
n/ngroup is not an integer. Thanks!
___
R functions are you using? Can you do a
> traceback()? Also, have
> you tried "www.r-project.org" -> search -> "R site
> search"?
>
> hope this helps. spencer graves
>
> Lily wrote:
> > I am running a 1000 simulations, it works for 2
> >
(mn, result2)
}
mn
Thanks!!
--- Uwe Ligges <[EMAIL PROTECTED]>
wrote:
> Lily wrote:
>
> > I am running a 1000 simulations, it works for 2
> > simulations. However, I get the following error
> > message whenever I run it more than 3 times:
> >
> > "Th
I am running a 1000 simulations, it works for 2
simulations. However, I get the following error
message whenever I run it more than 3 times:
"The instruction at '0*11044080' referenced memory at
"o*3ff0". The memory could not be "written".
and, I can also get something like "exception: access
For the 1000 simulations, a matrix will be generated
each time. And, I need to choose the first row of the
generated matrix. The following loop doesn't work
though:
for (i in 1:1000) {
aval[i]<- matrixname[1,]
}
Any solution? thanks!
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