The clt.examp function in the TeachingDemos package shows the effect of sample size on approximate normality for 4 different distribution of which the uniform distribution is one. This may do what you want, or you could start with that code and modify it to do what you want.
If not then try better explaining what you want or what your actual question is. -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of diavolo_vam > Sent: Thursday, December 16, 2010 11:13 AM > To: r-help@r-project.org > Subject: [R] Please help with one problem > > > It is interesting to graph the distribution of the standardized average > as n > increases. Do this when the Xi are > uniform on [0; 1]. Look at the histogram when n is 1, 5, 10 and 25. Do > you > see the normal curve taking shape? > (A rule of thumb is that if the Xi are not too skewed, then n > 25 > should > make the average approximately > normal. You might want > > f=function(n,a=0,b=1) { > mu=(b+a)/2 > sigma=(b-a)/sqrt(12) > (mean(runif(n,a,b))-mu)/(sigma/sqrt(n)) > } > where the formulas for the mean and standard deviation are given. ) > > > Thank you very much! > -- > View this message in context: http://r.789695.n4.nabble.com/Please- > help-with-one-problem-tp3091392p3091392.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. ______________________________________________ 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.
