Hi,
I actually largely solved the problem, i am using this code:
var1 <- rnorm(5000,0,5)
var2 <- 0.90*var1+0.10*rnorm(5000,0,10)
plot(var1,var2)
Its somewhat simplistic to say the least but it works more or less, i will
definantly look into your suggestion though!
Thanks
Thor
Denmark
On Sun
Oh,You actually want a mixture of two different normal random variables.
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Hi:
Do you mean multinomial or multivariate normal? If the latter, then in
addition to the previous response, there is package mvtnorm and a function
mvrnorm() in the MASS package to generate correlated multivariate normal
samples.
HTH,
Dennis
On Sat, Sep 11, 2010 at 12:52 PM, thedreamshaper
wro
package: {mnormt}
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I have had plenty of succes generating one dimensional variables and plotting
them, but what do i do for more (specifically 2) dimensional multinomial
variables?
I figure i have to create a vector consisting of two 1 dim normallly
distributed variables, that way i can also control the correlatio
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