[R] simulate correlated binary, categorical and continuous variable

[Greg Snow]

Your explanation below has me more confused than before.  Now it is
possible that it is just me, but it seems that if others understood it
then someone else would have given a better answer by now.  Are you
restricting your categorical and binary variables to be binned
versions of underlying normals?  if that is the case I doubt that
there would be a more efficient way than binning a normal variable.

If not then can you show us more of what you want to produce?  along
with what you mean by correlation or covariance with categorical
variables (which is meaningless without additional
restrictions/assumptions).

On Fri, Mar 30, 2012 at 3:41 PM, Burak Aydin <burak235813 at hotmail.com> wrote:
> Hello Greg,
> Thanks for your time,
> Lets say I know Pearson covariance matrix.
> When I use rmvnorm to simulate 9 variables and then dichotomize/categorize
> them, I cant retrieve the population covariance matrix.
>
> --
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-- 
Gregory (Greg) L. Snow Ph.D.
538280 at gmail.com