Need JSL script - dealing with imputes in data

[James T Metz <james.metz@abbott.com>]

JMP Users,

        I
have great need of a JSL script.

        I
am interested in using the Partition Platform.  I want to construct
a model to predict a 
Y.  I have a set of descriptors,
X's.

        However,
as usual, my X set is like Swiss Cheese.  Some of my X descriptors
are complete i.e.,
all values are available.  However
for other X's, I am missing data points.

        If
I try to utilize all of the data, I will get "imputes" (guesses).

        Can
someone possibly construct a JSL script that would read my JMP data table,
allow the user
to select the set of X's, then go through
those X's and "turn off" those particular X's which are missing
data.

        Also,
it would be super-fantastic, if I could "turn off" particular
X's if say >= 1% of the data was missing,
or perhaps >= 2% of the data was
missing, etc.

        The
main idea here is that I really don't like to use imputes, and I don't
have an easy way to deal with
large data sets with many possible X's
(entire columns) that may or may not contain imputes.

        I
might be willing to deal with data whrn the impute percentage is rather
small, but I want to be able to control
what I allow and what I don't allow.

        Many
thanks in advance if anyone is willing to create a helpful tools such as
this! (or perhaps there is
some semi-automated way to do this already
that I don't know about, or have not figured out how to do.).

        Thanks
again.

        Regards,
        Jim
Metz



James T. Metz, Ph.D.
Research Investigator Chemist

GPRD R46Y AP10-LL04H
Abbott Laboratories
100 Abbott Park Road
Abbott Park, IL  60064-6100
U.S.A.

Office (847) 936 - 0441
FAX    (847) 935 - 0548

james.metz@abbott.com

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