I don't think you need loops at all actually :-) [The main thing to
working with R vs. C is "vectorization" -- embrace it now and life
will be much better]
You could do something like this:
library(MASS) # Provides a multivariate normal distribution
mvrnorm(100, c(1,5), matrix(c(2,1,1,2), ncol =
Hi,
i'm not english and i'm not very familiar to R, and i'm asking if you can
help me.
I'm wondering how to create a multivariate normal an then repeat this for a
sample of T=1000, and the save this result.
Thank you very much for your helping
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