Did you verify that the correct percentages were above/below the regression
lines? I did a quick check and for example did not consistently get 50% of
the observed response values greater than the tau=.5 line. I did when I
included the nonzero intercept term.
> Date: Mon, 5 Oct 2015 21:14:04 +0530
> From: Preetam Pal <lordpreetam at gmail.com>
> To: stephen sefick <ssefick at gmail.com>
> Cc: "r-help at r-project.org" <r-help at r-project.org>
> Subject: Re: [R] Quantile Regression without intercept
> Message-ID: <56129a41.025f440a.b1cf4.fffff5ee at mx.google.com>
> Content-Type: text/plain; charset="UTF-8"
>
> Yes..it works. .... Thanks ??
>
> -----Original Message-----
> From: "stephen sefick" <ssefick at gmail.com>
> Sent: ?05-?10-?2015 09:01 PM
> To: "Preetam Pal" <lordpreetam at gmail.com>
> Cc: "r-help at r-project.org" <r-help at r-project.org>
> Subject: Re: [R] Quantile Regression without intercept
>
> I have never used this, but does the formula interface work like lm? Y~X-1?
>
>
> On Mon, Oct 5, 2015 at 10:27 AM, Preetam Pal <lordpreetam at
gmail.com>
> wrote:
>
> Hi guys,
>
> Can you instruct me please how to run quantile regression without the
> intercept term? I only know about the rq function under quantreg package,
> but it automatically uses an intercept model. Icant change that, it seems.
>
> I have numeric data on Y variable (Gdp) and 2 X variables (Hpa and
> Unemployment). Their sizes are 125 each.
>
> Appreciate your help with this.
>
> Regards,
> Preetam
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> --
>
> Stephen Sefick
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> Let's not spend our time and resources thinking about things that are
so
> little or so large that all they really do for us is puff us up and make us
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>
> -K. Mullis
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> "A big computer, a complex algorithm and a long time does not equal
> science."
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> -Robert Gentleman
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