Dear R Helper Community!
Thank you for all your help and suggestions.
For your reference and any future person searching the archives, here is the
solution that did what I wanted it to do.
As background, my goal was to find the coefficients for the following
equation form:
y ~ c1 * x1 *
Hi,
I am a bit stuck on specifying ui and ci.
I have read Lange's book ((1999) Numerical Analysis for Statisticians) to
his approach and unfortunately his descriptions were not helpful for me.
Here is what I have:
ui <- rbind(c(0, -1, 0), c(0, 0, -1))
ci <- c(0, -1, -1))
After a few days of work, I think I nearly have it.
Unfortunately, theta is unchanged after I run this (as a script from a
file). I thought that theta would contain the fitted parameters.
The goal here is to find the least squares fit according to the function
defined as "rss" subject to the
Hi Livia and everyone,
Did you ever get a response on this question from last year (Jan 2008)?
I am also looking for more explanatory documentation on the
ui and ci parameters for the function constrOptim().
The examples provided in the R help and the full refe
et.com]
> Sent: Tuesday, June 16, 2009 11:31 AM
> To: Stu @ AGS
> Subject: Re: [R] The most straightfoward way to write a function that
> sums over the rows of a matrix
>
> 'The R Inferno' may be of use to you.
>
>
>
> Patrick Burns
> patr...@burns-
pecific problem
>
> Hello,
>
> On 6/16/09, Stu @ AGS wrote:
> > Thanks for your response!
> > No, my basic equation does not use matrices at all. It takes scalar
> values and returns a scalar.
> >
> Not quite. Taking the example above, if you run the f
Hello!
I am trying to write a function with vector and data.frame parameters that
uses the sum() function and values from the rows of the data.frame.
I need to pass this function as a parameter to optim().
My starting point is:
observs <- data.frame(y, x1, x2, x3)
Fn <- function(par,
319, 0.087378640776699, 0.549295774647887,
0.0596026490066225, 0.61578947368421)
Thank you again,
Stu
> -Original Message-
> From: Liviu Andronic [mailto:landronim...@gmail.com]
> Sent: Tuesday, June 16, 2009 2:35 AM
> To: Stu @ AGS
> Cc: r-help@r-project.org
> Subject: Re: [R]
Hello!
I am getting the following errors when running optim() [I tried optim() with
3 different methods as you can see]:
Error in optim(c(0.66, 0.999, 0.064), pe, NULL, method = "L-BFGS-B") :
objective function in optim evaluates to length 6 not 1
> out <- optim( c(0.66, 0.999, 0.064),
Hi!
I am a bit new to R.
I am looking for the right function to use for a multiple regression problem
of the form:
y = c1 + x1 + (c2 * x2) - (c3 * x3)
Where c1, c2, and c3 are the desired regression coefficients that are
subject to the following constraints:
0.0 < c2 < 1.0, and
0.0 < c3 < 1.0
y
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