59 AM
>> To: r-help@r-project.org
>> Subject: Re: [R] Non-linear regression/Quantile regression
>>
>>
>> Hi,
>>
>> thanks, it works :-)
>> But where is the difference between demand ~ Time + I(Time^2) and
>> demand ~
>> poly(Time, 2) ?
>
n...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of despaired
> Sent: Tuesday, June 09, 2009 9:59 AM
> To: r-help@r-project.org
> Subject: Re: [R] Non-linear regression/Quantile regression
>
>
> Hi,
>
> thanks, it works :-)
> But where is the differe
half Of despaired
Sent: Tuesday, June 09, 2009 11:59 AM
To: r-help@r-project.org
Subject: Re: [R] Non-linear regression/Quantile regression
Hi,
thanks, it works :-)
But where is the difference between demand ~ Time + I(Time^2) and demand ~
poly(Time, 2) ?
Or: How do I have to interpret the results?
Hi,
thanks, it works :-)
But where is the difference between demand ~ Time + I(Time^2) and demand ~
poly(Time, 2) ?
Or: How do I have to interpret the results? (I get different results for the
two methods)
Thank you again!
Gabor Grothendieck wrote:
>
> Those are linear in the coefficients so
Those are linear in the coefficients so try these:
library(quantreg)
rq1 <- rq(demand ~ Time + I(Time^2), data = BOD, tau= 1:3/4); rq1
# or
rq2 <- rq(demand ~ poly(Time, 2), data = BOD, tau = 1:3/4); rq2
On Tue, Jun 9, 2009 at 10:55 AM, despaired wrote:
>
> Hi,
>
> I'm relatively new to R and
Hi,
I'm relatively new to R and need to do a quantile regression. Linear
quantile regression works, but for my data I need some quadratic function.
So I guess, I have to use a nonlinear quantile regression. I tried the
example on the help page for nlrq with my data and it worked. But the
example
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