[R] Least square minimization (non-linear)

[Spencer Graves]

      What are you trying to accomplish? 

      If you want to model the distribution of the data, and if the 
numbers are plausibly normally distributed, I'd start with "qqnorm".  If 
you have some distribution in mind, I'd try "fitdistr" in 
library(MASS).  If it's neither of these, please make another attempt to 
"read the posting guide! http://www.R-project.org/posting-guide.html".  
Your question may seem perfectly clear to you, but it seems to me to be 
too general to answer;  carefully following the instructions in the 
posting guide can increase the likelihood that someone will understand 
what you are trying to do enough to actually help you. 

      hope this helps.
      spencer graves

Jagarlamudi, Choudary wrote:

>Hi all,
>I think the last time i posted this topic i started on the wrong foot. Thnaks alot to everyone who responded.
>i'm coding in  R(first time) for a paper my colleague is publishing.  i plotted a histogram for 6000 values.  
>I am told to plot experimental vs theoretical vlaues from the  histogram and  do a non linear least square curve minimization and compute the mean and sd of the new  x values.Excuse me if this sounds too  naive.Can you help me in getting a start on this one.
>
>Choudary Jagarlamudi
>Instructor
>Southwestern Oklahoma State University
>STF 254
>100 campus Drive
>Weatherford OK 73096
>Tel 580-774-7136
>
>	[[alternative HTML version deleted]]
>
>______________________________________________
>R-help at stat.math.ethz.ch mailing list
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
>  
>