[R] Warning - Naive Question Alert

Marc R. Feldesman feldesmanm at pdx.edu
Sat Aug 26 20:08:03 CEST 2000

In my research area, researchers are very stingy about sharing data.  In 
fact, they are frequently downright secretive about these 
morsels.  Typically, we get fed a diet of summary statistics and the 
assurance that the data are *normal* without any necessary documentation 
that they really are.

With that as background and assuming that the data really are normal, is 
there any way in R (or any of the S engines) to generate a data set that 
mimics exactly the summary properties reported in a published paper?  I 
know I can use rnorm() and mvrnorm() for this, but neither function will 
necessarily or very likely return a sample that has the *same* properties 
as the given population.  At best, I can sift though replicates until I 
find the one closest to the "original".   This approach doesn't seem very 
efficient or valid.  Is there another way to do this?

Dr. Marc R. Feldesman
email:  feldesmanm at pdx.edu
email:  feldesman at ibm.net
fax:    503-725-3905

"Don't know where I'm going.
Don't like where I've been.
There may be no exit.
But hell, I'm going in."  Jimmy Buffett

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