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 gravesJagarlamudi, 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
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