search for: komanduru

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.