Thanks so much. I really appreciate it.
Carlos
On 5/11/2011 3:18 PM, Thomas Lumley-2 [via R] wrote:
> On Thu, May 12, 2011 at 2:43 AM, jour4life <[hidden email]
> > wrote:
> > I have a follow up question. When using svyglm, it does not matter
> that I am
> > not using survey design and only wei
On Thu, May 12, 2011 at 2:43 AM, jour4life wrote:
> I have a follow up question. When using svyglm, it does not matter that I am
> not using survey design and only weights?
> In other words,
>
> fit<-svyglm(y~x1+x2+...xk,data=dataset,weights=weightvariable)
>
> Or am I going to have to construct a
I have a follow up question. When using svyglm, it does not matter that I am
not using survey design and only weights?
In other words,
fit<-svyglm(y~x1+x2+...xk,data=dataset,weights=weightvariable)
Or am I going to have to construct a survey design variable, using only the
weight variable?
Than
On 5/10/2011 3:12 PM, Thomas Lumley-2 [via R] wrote:
> On Tue, May 10, 2011 at 2:50 PM, jour4life <[hidden email]
> > wrote:
>
> > Hello all,
> >
> > I am wondering if there is a way to specify sampling weights for an ols
> > model using sample weights.
> >
> > For instance, right now, my code is:
On Tue, May 10, 2011 at 2:50 PM, jour4life wrote:
> Hello all,
>
> I am wondering if there is a way to specify sampling weights for an ols
> model using sample weights.
>
> For instance, right now, my code is:
>
> fit.ex<-lm(y~x1+x2+x3+...xk,data=dataset,weights=weightvariable.)
> summary(fit.ex)
Hello all,
I am wondering if there is a way to specify sampling weights for an ols
model using sample weights.
For instance, right now, my code is:
fit.ex<-lm(y~x1+x2+x3+...xk,data=dataset,weights=weightvariable.)
summary(fit.ex)
But, there is almost no difference in the coefficients nor standa
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