Dear r Users,
I am new in r. I am trying to estimate regression quantiles in complex
surveys.I used these commands.
mydesign
<-svydesign(ids=~IDSCHOOL,strata=~IDSTRATE,data=TUNISIA,nest=TRUE,weights=~TOTWGT)
bootdesign <- as.svrepdesign(mydesign,type="auto",replicates=150)
fit+dictionary+in
-project.org
Subject
Re: [R] Quantile regression with complex survey data
On Wed, Aug 20, 2008 at 8:12 AM, Cheng, Yiling (CDC/CCHP/NCCDPHP)
<[EMAIL PROTECTED]> wrote:
> I am working on the NHANES survey data, and want to apply quantile
> regression on these complex survey data.
You can get point estimates by supplying the sampling weights as weights
to the quantile regression functions in Roger Koenker's quantreg package.
This is useful for smoothing (with the rqss() function; it is not clear
how useful it is for straight line regression.
You should get valid inte
On Wed, Aug 20, 2008 at 8:12 AM, Cheng, Yiling (CDC/CCHP/NCCDPHP)
<[EMAIL PROTECTED]> wrote:
> I am working on the NHANES survey data, and want to apply quantile
> regression on these complex survey data. Does anyone know how to do
> this?
There are no references in technical literature (thinking,
> Dear there,
>
> I am working on the NHANES survey data, and want to apply quantile
> regression on these complex survey data. Does anyone know how to do
> this?
>
> Thank you in advance,
> Yiling Cheng
> Yiling J. Cheng MD, PhD
> Epidemiologist
> CoCHP, Division of Diabetes Translation
> Cente
Dear there,
I am working on the NHANES survey data, and want to apply quantile
regression on these complex survey data. Does anyone know how to do
this?
Thank you in advance,
Yiling Cheng
Yiling J. Cheng MD, PhD
Epidemiologist
CoCHP, Division of Diabetes Translation
Centers for Disease Control an
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