These conditions are mutually exclusive for a lot of reasons, therefore, there's no way to generate such data. Briefly, the normal distribution is fully specified by the mean and variance, the other conditions are superfluous, and, in some cases, impossible
Please tell us what you are actually trying to do and why you need to do it, and perhaps we can help. Peter Peter L. Flom, PhD Assistant Director, Statistics and Data Analysis Core Center for Drug Use and HIV Research National Development and Research Institutes 71 W. 23rd St www.peterflom.com New York, NY 10010 (212) 845-4485 (voice) (917) 438-0894 (fax) >>> nmi13 <[EMAIL PROTECTED]> 10/28/2003 3:38:22 AM >>> Hi every one, I am trying to generate a normally distributed random variable with the following descriptive statistics, min=1, max=99, variance=125, mean=38.32, 1st quartile=38, median=40, 3rd quartile=40, skewness=-0.274. I know the "rnorm" will allow me to simulate random numbers with mean 38.32 and Sd=11.18(sqrt(125)). But I need to have the above mentioned descriptive statistics for the data that I generate. I would be thankful to anyone who can help me with this problem. Regards Murthy ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
