Hello Your attachement didn't seem to get through. You can simulate data using rnorm() or any of the r*() functions [1]. You can also use it to add noise to a custom function that you use to generate your specific data. Liviu
[1] http://www.statmethods.net/management/functions.html On 8/25/09, KABELI MEFANE <kabelimef...@yahoo.co.uk> wrote: > Dear All > > I know that you do not have to help me but please do, i am new to R as a CPI > compiler, i just need to do a sample to see which sampling method best works > in different situations, therefore since this is for practice purposes nobody > will finance a real project thats why i need you to help me direct me as to > how simulate data (just direct me,not 100% help). See my attachment for > problem formulation, you can even suggest a different problem and how i can > simulate > > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- Do you know how to read? http://www.alienetworks.com/srtest.cfm Do you know how to write? http://garbl.home.comcast.net/~garbl/stylemanual/e.htm#e-mail ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
