> library(MASS)
> set.seed(22134)
> Y <- mvrnorm(100, mu = c(0,1), Sigma = matrix(c(2,1,1,3),2,2))
> colMeans(Y)
[1] 0.06461359 1.08436419
> var(Y)
[,1] [,2]
[1,] 1.683963 1.300363
[2,] 1.300363 3.280612
>
Bill Venables
CSIRO Laboratories
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-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Arnau Mir Torres
Sent: Sunday, 6 July 2008 2:14 AM
To: r-help@r-project.org
Subject: [R] help about random generation of a Normal distribution
ofseveral variables
Hello.
Somebody knows how can I generate a set of n random vectors of a
normal distribution of several variables?
For example, I want to generate n=100 random vectors of two dimensions
for a normal with mean c(0,1) and variance matrix:
matrix(c(2,1,1,3),2,2).
Thanks in advance,
Arnau.
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
