Displaying 5 results from an estimated 5 matches for "komanduru".
2003 Mar 26
1
nls
...he model
df <- read.table("data.txt", header=T);
df1 = na.omit(df[, 1:2])
library(nls);
fm = nls(y ~ (x+d)^(-exp(lb)), data = df1, start=c(lb = 0, d = 0),alg =
'plinear', trace = TRUE);
I would be glad if someone can help me.
Thanks & Regards,
Sai Charan Komanduru
>To: Komanduru Sai C <sck2348 at cacs.louisiana.edu>
>Cc: r-help at stat.math.ethz.ch
>Subject: Re: [R] nls
>From: Douglas Bates <bates at stat.wisc.edu>
>Date: 19 Feb 2003 08:33:52 -0600
>User-Agent: Gnus/5.0808 (Gnus v5.8.8) XEmacs/21.4 (Common Lisp)
>MIME-Versio...
2003 Jan 30
2
Regarding R
...at the university of Louisiana at Lafayette. I have a
question. I have an equation with 3 unknowns. f= P/ (r+p) pow(B). I have values
of f for different r's. Can i use R to find the P,p,B values which are
constants. The equation is Manderbolts equation.
Thanks and regards,
Sai Charan Komanduru
Research Assistant, CACS
ULL
2003 Jan 30
3
Regarding Installation of R
Hi,
I am trying to install R on Windows. I copied the set
up binary. But it is corrupted on all the mirror
sites. Please let know an alternative for getting the
software.
Thanks,
Sai
2003 Jan 30
0
Re: Regarding Installation
Its possible to corrupt the binary if you actually open it in a browser,
and the browser tries to display it, and then you save it.
Have you tried right-clicking on the link to download it?
Robert.
On Thu, 30 Jan 2003, saicharan komanduru wrote:
> Hi,
> I copied the binary setup file for windows. I tried
> to install but it says the binary is corrupted. I
> tried getting the files from many mirror sites but the
> same probelm is repeating. Please let me know if i
> have an alternative.
>
> Thanks and Regar...
2003 Feb 19
1
nls
Hi,
I am using nls library
df <- read.table("data.txt", header=T);
library(nls);
fm <- nls(y ~ a*(x+d)^(-b), df, start=list(a=max(df->y,na.rm=T)/2,b=1,d=0));
coef(fm);
q();
When i am using the above routine i am getting the following error
Error in nlsModel(formula, mf, start) : singular gradient matrix at initial
parameter estimates
Can some one help me in this.