Your question makes no sense as stated. However, guessing at what you want, you should perhaps consider the non-central chi-square density with 1 df and ncp = u/a, i.e,
rchisq(100, df=1, ncp=u/a) Joe Joseph F. Lucke, PhD Senior Statistician Research Institute on Addictions University at Buffalo State University of New York 1021 Main Street Buffalo, NY 14203-1016 Chien-Pang Chin <chienpan...@gmail.com> Sent by: "R-help" <r-help-boun...@r-project.org> 09/15/2015 06:58 AM To "r-help@r-project.org" <r-help@r-project.org>, cc Subject [R] Beta distribution approximate to Normal distribution Hi, I need to generate 1000 numbers from N(u, a^2), however I don't want to include 0 and negative values. How can I use beta distribution approximate to N(u, a^2) in R. Thx for help ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
