[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
"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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