You need to know the exact distribution of the random numbers you want to generate. For rnorm, in fact, you do not just specify the mean and the variance, but implicitely also that the data is normally distributed. Likewise, it is not sufficient to give min, max, skewness etc, you also need to know the distribution and then maybe you can use runif() as base for your code.

Pascal


nmi13 wrote:


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




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